Computers and Electronics in Agriculture (Journal)
Laser-induced fluorescence imaging method to monitor citrus greening disease
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 1 September 2011
Fabíola Manhas Verbi, Pereira , Débora Marcondes Bastos Pereira, Milori , Edenir Rodrigues, Pereira-Filho , André Leonardo, Venâncio , Mariana de Sá Tavares, Russo , ...
The potential use of laser-induced fluorescence imaging to monitor citrus greening disease in sweet orange (Citrus sinensis) plants was investigated. For this purpose, an experiment using healthy plants as the control and plants of the same variety inoculated with Candidatus Liberibacter asiaticus (CLas) was performed to verify the fluorescence response through 8months after bacterial inoculation. A system using laser-induced fluorescence at 473nm of wavelength excitation was configured. Color descriptors from the collected fluorescence images were determined using the average values for red (R); green (G); blue (B); hue (H); saturation (S); value (V, or Intensity); relative red (rR); relative green...
Highlights: ► Citrus greening disease monitoring. ► Analysis without chemical pre-treatment. ► Elimination of the subjective nature. ► Alternative to PCR methods.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 1 September 2011
Fabíola Manhas Verbi, Pereira , Débora Marcondes Bastos Pereira, Milori , Edenir Rodrigues, Pereira-Filho , André Leonardo, Venâncio , Mariana de Sá Tavares, Russo , ...
The potential use of laser-induced fluorescence imaging to monitor citrus greening disease in sweet orange (Citrus sinensis) plants was investigated. For this purpose, an experiment using healthy plants as the control and plants of the same variety inoculated with Candidatus Liberibacter asiaticus (CLas) was performed to verify the fluorescence response through 8months after bacterial inoculation. A system using laser-induced fluorescence at 473nm of wavelength excitation was configured. Color descriptors from the collected fluorescence images were determined using the average values for red (R); green (G); blue (B); hue (H); saturation (S); value (V, or Intensity); relative red (rR); relative green...
Highlights: ► Citrus greening disease monitoring. ► Analysis without chemical pre-treatment. ► Elimination of the subjective nature. ► Alternative to PCR methods.
Categories: From other sites
Vertical measurement accuracy and reliability of mapping-grade GPS receivers
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
Michael G., Wing , Jereme, Frank
Elevation measurements are essential for many natural resource activities including hydrologic modeling, viewshed analysis, and forest road and trail engineering design. We collected elevation measurements with five identically configured mapping-grade global positioning system (GPS) receivers at two distinctly different test courses within a forest. Our primary objectives were to quantify the accuracy and reliability of GPS elevation measurements within two distinctly different environmental settings and to examine the influence of different data collection approaches. One test course was established within a forest clearing and had a generally unobstructed view of the overhead sky while the other course was mostly covered...
Highlights: ► We examined elevation measurements of five identical mapping-grade GPS receivers. ► Receivers collected measurements simultaneously at two different forest test courses. ► Average error was 2.7m for unprocessed and 0.4m for processed data in open sky. ► Average error was 5.0m for unprocessed and 3.0m for processed data in forest canopy. ► Mapping-grade GPS receivers can produce acceptable elevation measurements.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
Michael G., Wing , Jereme, Frank
Elevation measurements are essential for many natural resource activities including hydrologic modeling, viewshed analysis, and forest road and trail engineering design. We collected elevation measurements with five identically configured mapping-grade global positioning system (GPS) receivers at two distinctly different test courses within a forest. Our primary objectives were to quantify the accuracy and reliability of GPS elevation measurements within two distinctly different environmental settings and to examine the influence of different data collection approaches. One test course was established within a forest clearing and had a generally unobstructed view of the overhead sky while the other course was mostly covered...
Highlights: ► We examined elevation measurements of five identical mapping-grade GPS receivers. ► Receivers collected measurements simultaneously at two different forest test courses. ► Average error was 2.7m for unprocessed and 0.4m for processed data in open sky. ► Average error was 5.0m for unprocessed and 3.0m for processed data in forest canopy. ► Mapping-grade GPS receivers can produce acceptable elevation measurements.
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A wearable module for recording worker position in orchards
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
Y.G., Ampatzidis , S.G., Vougioukas , M.D., Whiting
This paper describes the design and testing of a wearable position recording system for workers in orchards or in protected cultivation environments, where GPS data are typically unavailable. The major goal of the wearable system is to track worker position in relation to trees. This system consists of a pedometer and a small barcode reader and utilizes barcode tags permanently attached to fixed objects of known location (e.g., individual trees in an orchard). The pedometer computes a worker’s relative displacement with respect to a known starting position, and the barcode provides the absolute (starting) position information at regular intervals to...
Highlights: ► A wearable position recording system for workers in orchards is introduced. ► The system consists of a pedometer and a small barcode reader. ► This system tracks worker position in relation to trees/plans. ► The sequence of the trees visited by the worker was established correctly. ► The time the workers spend to each tree would be calculated for management purpose.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
Y.G., Ampatzidis , S.G., Vougioukas , M.D., Whiting
This paper describes the design and testing of a wearable position recording system for workers in orchards or in protected cultivation environments, where GPS data are typically unavailable. The major goal of the wearable system is to track worker position in relation to trees. This system consists of a pedometer and a small barcode reader and utilizes barcode tags permanently attached to fixed objects of known location (e.g., individual trees in an orchard). The pedometer computes a worker’s relative displacement with respect to a known starting position, and the barcode provides the absolute (starting) position information at regular intervals to...
Highlights: ► A wearable position recording system for workers in orchards is introduced. ► The system consists of a pedometer and a small barcode reader. ► This system tracks worker position in relation to trees/plans. ► The sequence of the trees visited by the worker was established correctly. ► The time the workers spend to each tree would be calculated for management purpose.
Categories: From other sites
Neural network modeling of greenhouse tomato yield, growth and water use from automated crop monitoring data
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
David L., Ehret , Bernard D., Hill , Tom, Helmer , Diane R., Edwards
The recent development of tools to automatically monitor important crop attributes in situ such as yield, growth and water use offers an opportunity to relate real-time crop status to current environmental conditions. In this study, continuous minute-by-minute measurements of crop yield, growth and water use averaged over weekly, daily, or hourly intervals throughout the growing season were used to determine crop response to changes in the greenhouse environment. The data were obtained from crop monitoring stations established in both commercial and research greenhouses. Crop yield measurements obtained from the monitoring system were generally in very close agreement with yields recorded...
Highlights: ► Plant-based monitoring contributes to models of yield, growth, and water use. ► Radiation, temperature, CO2 and date are the most important environmental inputs. ► Hourly water use was related to periods of crop water stress.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
David L., Ehret , Bernard D., Hill , Tom, Helmer , Diane R., Edwards
The recent development of tools to automatically monitor important crop attributes in situ such as yield, growth and water use offers an opportunity to relate real-time crop status to current environmental conditions. In this study, continuous minute-by-minute measurements of crop yield, growth and water use averaged over weekly, daily, or hourly intervals throughout the growing season were used to determine crop response to changes in the greenhouse environment. The data were obtained from crop monitoring stations established in both commercial and research greenhouses. Crop yield measurements obtained from the monitoring system were generally in very close agreement with yields recorded...
Highlights: ► Plant-based monitoring contributes to models of yield, growth, and water use. ► Radiation, temperature, CO2 and date are the most important environmental inputs. ► Hourly water use was related to periods of crop water stress.
Categories: From other sites
SAIFA: A web-based system for Integrated Production of olive cultivation
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
Francisco Javier, Orellana , José, del Sagrado , Isabel María, del Águila
One of the essential requirements of current agricultural practice is the need to evolve towards crop techniques that make better use of productive factors behaving in sustainable and environmentally respectful ways. Pest control is one of the most important problems to take into account, due to the significant production losses that pests may cause. The Integrated Production for olive crop defines a set of rules that has to be followed in order to ensure a production of higher quality, and promotes an environmentally respectful model of Olive cultivation. This work presents SAIFA (spanish acronym for Sistema de Alerta e Información...
Highlights: ► Development of a web-based system for monitoring Integrated Production in olive crop. ► Real-time management of the information collected in Integrated Production standard. ► Deploy of a modular architecture to satisfy the tasks of different user profiles. ► Bayesian network assistant about the need to apply a pest control treatment.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 30 August 2011
Francisco Javier, Orellana , José, del Sagrado , Isabel María, del Águila
One of the essential requirements of current agricultural practice is the need to evolve towards crop techniques that make better use of productive factors behaving in sustainable and environmentally respectful ways. Pest control is one of the most important problems to take into account, due to the significant production losses that pests may cause. The Integrated Production for olive crop defines a set of rules that has to be followed in order to ensure a production of higher quality, and promotes an environmentally respectful model of Olive cultivation. This work presents SAIFA (spanish acronym for Sistema de Alerta e Información...
Highlights: ► Development of a web-based system for monitoring Integrated Production in olive crop. ► Real-time management of the information collected in Integrated Production standard. ► Deploy of a modular architecture to satisfy the tasks of different user profiles. ► Bayesian network assistant about the need to apply a pest control treatment.
Categories: From other sites
Energy efficient data transmission in automatic irrigation system using wireless sensor networks
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 27 August 2011
M., Nesa Sudha , M.L., Valarmathi , Anni Susan, Babu
Wireless sensor networks (WSNs) find wide applications in environmental monitoring. MAC protocols play a vital role in controlling the energy consumption in a WSN. It tells the network when and how to access the medium. Time Division Multiple Accesses (TDMAs) are well suited for these real time applications. Because it prevents radio interference, and reduces energy consumptions. In this paper a TDMA based MAC protocol was used to collect environmental data such as soil moisture and temperature of an irrigation system. The base station was collecting the data in a particular area using the sensor nodes. All nodes in the...
Highlights: ► Irrigation is an important component in crop production. ► This paper provides a method used in an automated irrigation system. ► Automatic irrigation is done with the help of two sensors, solenoid valves and a pump. ► Based on collected data the motor is activated according to the need of soil.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 27 August 2011
M., Nesa Sudha , M.L., Valarmathi , Anni Susan, Babu
Wireless sensor networks (WSNs) find wide applications in environmental monitoring. MAC protocols play a vital role in controlling the energy consumption in a WSN. It tells the network when and how to access the medium. Time Division Multiple Accesses (TDMAs) are well suited for these real time applications. Because it prevents radio interference, and reduces energy consumptions. In this paper a TDMA based MAC protocol was used to collect environmental data such as soil moisture and temperature of an irrigation system. The base station was collecting the data in a particular area using the sensor nodes. All nodes in the...
Highlights: ► Irrigation is an important component in crop production. ► This paper provides a method used in an automated irrigation system. ► Automatic irrigation is done with the help of two sensors, solenoid valves and a pump. ► Based on collected data the motor is activated according to the need of soil.
Categories: From other sites
Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data in the North China Plain
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 August 2011
Qiangzi, Li , Bingfang, Wu , Kun, Jia , Qinghan, Dong , Herman, Eerens , ...
Crop acreage estimation is a key aspect to forecast crop production. Maize acreage estimation becomes more and more important because the fast production changes every year due to the dynamics of the prices. This paper focuses on maize acreage estimation in the North China Plain using ENVISAT MERIS and CBERS-02B CCD data of 2008. Firstly, adaptive maximum likelihood classification of CBERS-02B CCD images based on ground survey provided reliable maize area fraction image (AFI). CBERS derived AFIs (as reference AFI) were used to train a 3-layer back-propagation neural network, this was then used to the whole MERIS data to generate...
Highlights: ► Valuable for wide-scale, regional crop acreage estimation at the early stage. ► Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data. ► Crop acreage estimation combining high and coarse spatial resolution data.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 August 2011
Qiangzi, Li , Bingfang, Wu , Kun, Jia , Qinghan, Dong , Herman, Eerens , ...
Crop acreage estimation is a key aspect to forecast crop production. Maize acreage estimation becomes more and more important because the fast production changes every year due to the dynamics of the prices. This paper focuses on maize acreage estimation in the North China Plain using ENVISAT MERIS and CBERS-02B CCD data of 2008. Firstly, adaptive maximum likelihood classification of CBERS-02B CCD images based on ground survey provided reliable maize area fraction image (AFI). CBERS derived AFIs (as reference AFI) were used to train a 3-layer back-propagation neural network, this was then used to the whole MERIS data to generate...
Highlights: ► Valuable for wide-scale, regional crop acreage estimation at the early stage. ► Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data. ► Crop acreage estimation combining high and coarse spatial resolution data.
Categories: From other sites
Optimized EIF-SLAM algorithm for precision agriculture mapping based on stems detection
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 18 August 2011
F., Auat Cheein , G., Steiner , G., Perez Paina , R., Carelli
Precision agricultural maps are required for agricultural machinery navigation, path planning and plantation supervision. In this work we present a Simultaneous Localization and Mapping (SLAM) algorithm solved by an Extended Information Filter (EIF) for agricultural environments (olive groves). The SLAM algorithm is implemented on an unmanned non-holonomic car-like mobile robot. The map of the environment is based on the detection of olive stems from the plantation. The olive stems are acquired by means of both: a range sensor laser and a monocular vision system. A support vector machine (SVM) is implemented on the vision system to detect olive stems on...
Highlights: ► An optimized EIF-SLAM is implemented for agricultural environment mapping. ► A range laser sensor and a vision system extract stems from the environment. ► An unmanned mobile robot navigates through furrows. ► Only the most significant stems are used for mapping purposes. ► Real-time consistent maps are obtained.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 18 August 2011
F., Auat Cheein , G., Steiner , G., Perez Paina , R., Carelli
Precision agricultural maps are required for agricultural machinery navigation, path planning and plantation supervision. In this work we present a Simultaneous Localization and Mapping (SLAM) algorithm solved by an Extended Information Filter (EIF) for agricultural environments (olive groves). The SLAM algorithm is implemented on an unmanned non-holonomic car-like mobile robot. The map of the environment is based on the detection of olive stems from the plantation. The olive stems are acquired by means of both: a range sensor laser and a monocular vision system. A support vector machine (SVM) is implemented on the vision system to detect olive stems on...
Highlights: ► An optimized EIF-SLAM is implemented for agricultural environment mapping. ► A range laser sensor and a vision system extract stems from the environment. ► An unmanned mobile robot navigates through furrows. ► Only the most significant stems are used for mapping purposes. ► Real-time consistent maps are obtained.
Categories: From other sites
Development of model based sensors for the supervision of a solar dryer
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 17 August 2011
E., Correa-Hernando , F.J., Arranz , B., Diezma , E., Juliá , J.I., Robla , ...
Solar dryers are increasingly used in developing countries as an alternative to drying in open air, however the inherent variability of the drying conditions during day and along year drive the need for achieving low cost sensors that would enable to characterize the drying process and to react accordingly. This paper provides three different and complementary approaches for model based sensors that make use of the psychrometric properties of the air inside the drying chamber and the temperature oscillations of the wood along day. The simplest smart sensor, Smart-1, using only two Sensirion sensors, allows to estimate the accumulated water...
► The inherent variability of the drying conditions drives the need for achieving low cost sensors. ► Three model based sensors are proposed in this work. ► Three model based sensors are proposed in this work. ► They use the psychrometric properties of the air and the temperature oscillations of the wood. ► They allow estimating complex parameters as drying rate and wood moisture in real time. ► Their implementation on embedded electronics and wireless sensor networks will turn into smart sensors.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 17 August 2011
E., Correa-Hernando , F.J., Arranz , B., Diezma , E., Juliá , J.I., Robla , ...
Solar dryers are increasingly used in developing countries as an alternative to drying in open air, however the inherent variability of the drying conditions during day and along year drive the need for achieving low cost sensors that would enable to characterize the drying process and to react accordingly. This paper provides three different and complementary approaches for model based sensors that make use of the psychrometric properties of the air inside the drying chamber and the temperature oscillations of the wood along day. The simplest smart sensor, Smart-1, using only two Sensirion sensors, allows to estimate the accumulated water...
► The inherent variability of the drying conditions drives the need for achieving low cost sensors. ► Three model based sensors are proposed in this work. ► Three model based sensors are proposed in this work. ► They use the psychrometric properties of the air and the temperature oscillations of the wood. ► They allow estimating complex parameters as drying rate and wood moisture in real time. ► Their implementation on embedded electronics and wireless sensor networks will turn into smart sensors.
Categories: From other sites
An autonomous intelligent gateway infrastructure for in-field processing in precision viticulture
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 11 August 2011
Emanuel, Peres , Miguel A., Fernandes , Raul, Morais , Carlos R., Cunha , Juan A., López , ...
Wireless sensor networks have found multiple applications in precision viticulture. Despite the steady progress in sensing devices and wireless technologies, some of the crucial items needed to improve the usability and scalability of the networks, such as gateway infrastructures and in-field processing, have been comparatively neglected. This paper describes the hardware, communication capabilities and software architecture of an intelligent autonomous gateway, designed to provide the necessary middleware between locally deployed sensor networks and a remote location within the whole-farm concept. This solar-powered infrastructure, denoted by iPAGAT (Intelligent Precision Agriculture Gateway), runs an aggregation engine that fills a local database with...
► iPAGAT: in-field data processing in PA/PV applications that uses WSN. ► Intelligent sink node which manages sensor data and provide middleware services. ► Gateway with a built-in aggregation engine and a data integration system. ► With several wireless interfaces, the gateway enables site-specific management using smartphones. ► Infrastructure for distributed service-oriented information systems in PA/PV applications.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 11 August 2011
Emanuel, Peres , Miguel A., Fernandes , Raul, Morais , Carlos R., Cunha , Juan A., López , ...
Wireless sensor networks have found multiple applications in precision viticulture. Despite the steady progress in sensing devices and wireless technologies, some of the crucial items needed to improve the usability and scalability of the networks, such as gateway infrastructures and in-field processing, have been comparatively neglected. This paper describes the hardware, communication capabilities and software architecture of an intelligent autonomous gateway, designed to provide the necessary middleware between locally deployed sensor networks and a remote location within the whole-farm concept. This solar-powered infrastructure, denoted by iPAGAT (Intelligent Precision Agriculture Gateway), runs an aggregation engine that fills a local database with...
► iPAGAT: in-field data processing in PA/PV applications that uses WSN. ► Intelligent sink node which manages sensor data and provide middleware services. ► Gateway with a built-in aggregation engine and a data integration system. ► With several wireless interfaces, the gateway enables site-specific management using smartphones. ► Infrastructure for distributed service-oriented information systems in PA/PV applications.
Categories: From other sites
Machine-to-machine communication for agricultural systems: An XML-based auxiliary language to enhance semantic interoperability
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 10 August 2011
Edmund W., Schuster , Hyoung-Gon, Lee , Reza, Ehsani , Stuart J., Allen , J., Steven Rogers
This paper puts forth an Internet-based architecture for machine-to-machine communication and computation that enhances bio-productivity in agriculture. The approach utilizes an auxiliary language to enable data interoperability in a synthetic computing environment and to make connections between data and mathematical models. The approach also includes some aspects of cloud and context aware computing. At the prototype level, a practical application from the Florida citrus industry demonstrates the concept. In general, future agricultural systems will be Internet-based thus reducing cost and increasing capability. Standards organizations are certain to play an important role in this development, which might continue for the next...
Highlights: ► Intensive modeling of data enhances bio-productivity in agriculture. ► Robust machine-to-machine communication requires an interdisciplinary approach. ► An auxiliary language enables Internet connections between models and data. ► A prototype from the Florida citrus industry demonstrates the system architecture. ► Standards organizations will play a role in improving data & model interoperability.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 10 August 2011
Edmund W., Schuster , Hyoung-Gon, Lee , Reza, Ehsani , Stuart J., Allen , J., Steven Rogers
This paper puts forth an Internet-based architecture for machine-to-machine communication and computation that enhances bio-productivity in agriculture. The approach utilizes an auxiliary language to enable data interoperability in a synthetic computing environment and to make connections between data and mathematical models. The approach also includes some aspects of cloud and context aware computing. At the prototype level, a practical application from the Florida citrus industry demonstrates the concept. In general, future agricultural systems will be Internet-based thus reducing cost and increasing capability. Standards organizations are certain to play an important role in this development, which might continue for the next...
Highlights: ► Intensive modeling of data enhances bio-productivity in agriculture. ► Robust machine-to-machine communication requires an interdisciplinary approach. ► An auxiliary language enables Internet connections between models and data. ► A prototype from the Florida citrus industry demonstrates the system architecture. ► Standards organizations will play a role in improving data & model interoperability.
Categories: From other sites
Spatially discriminating Russian wheat aphid induced plant stress from other wheat stressing factors
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 3 August 2011
Georges F., Backoulou , Norman C., Elliott , Kristopher, Giles , Mpho, Phoofolo , Vasile, Catana , ...
The Russian wheat aphid (RWA) Diuraphis noxia (Mordvilko) is a major pest of winter wheat and barley in the United States. RWA induces stress to the wheat crop by damaging plant foliage, lowering the greenness of plants, and affecting productivity. The utilization of multispectral remote sensing is effective at detecting plant stress in agricultural crops. Stress to wheat plants detected in fields can be caused by several factors that can vary spatially in their presence and intensity across a field. Stress can result from factors such as nutrient deficiency, drought, diseases, and pests that can occur individually or collectively. The...
Highlights: ► Diuraphis noxia, drought, and agronomic conditions induced stress to wheat fields. ► A set of spatialmetrics from multispectral data and field characteristics are investigated. ► A discriminant function analysis is applied to differentiate stress causing factors.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 3 August 2011
Georges F., Backoulou , Norman C., Elliott , Kristopher, Giles , Mpho, Phoofolo , Vasile, Catana , ...
The Russian wheat aphid (RWA) Diuraphis noxia (Mordvilko) is a major pest of winter wheat and barley in the United States. RWA induces stress to the wheat crop by damaging plant foliage, lowering the greenness of plants, and affecting productivity. The utilization of multispectral remote sensing is effective at detecting plant stress in agricultural crops. Stress to wheat plants detected in fields can be caused by several factors that can vary spatially in their presence and intensity across a field. Stress can result from factors such as nutrient deficiency, drought, diseases, and pests that can occur individually or collectively. The...
Highlights: ► Diuraphis noxia, drought, and agronomic conditions induced stress to wheat fields. ► A set of spatialmetrics from multispectral data and field characteristics are investigated. ► A discriminant function analysis is applied to differentiate stress causing factors.
Categories: From other sites
Editorial Board
Publication year: 2011
Source: Computers and Electronics in Agriculture, Volume 78, Issue 1, August 2011, Page IFC
[No author name available]
Source: Computers and Electronics in Agriculture, Volume 78, Issue 1, August 2011, Page IFC
[No author name available]
Categories: From other sites
Editorial Board
Publication year: 2011
Source: Computers and Electronics in Agriculture, Volume 78, Issue 1, August 2011, Page ii
[No author name available]
Source: Computers and Electronics in Agriculture, Volume 78, Issue 1, August 2011, Page ii
[No author name available]
Categories: From other sites
Data acquisition system for soil–tire interface stress measurement
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 29 July 2011
Jonathan, Roth , Matthew, Darr
In today’s production agriculture industry, a renewed interest has been placed on input costs and energy efficiency. The fact that the soil–tire interface of a tractive vehicle is inherently inefficient is widely known but not widely understood. To support evaluation of the soil–tire interface a measurement system was created to sense the normal stress at the interface of the tire and soil. To acquire and log the data from this sensor array, a unique data acquisition system was developed and is presented in this paper. The system utilized a microcontroller to process and write data to a compact flash card...
Highlights: ► Embedded data acquisition was successful in measuring soil–tire interface pressure. ► Accelerometers were able to measure tire angular rotation and position. ► Multiple track/hold ADC’s minimized sampling time skew.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 29 July 2011
Jonathan, Roth , Matthew, Darr
In today’s production agriculture industry, a renewed interest has been placed on input costs and energy efficiency. The fact that the soil–tire interface of a tractive vehicle is inherently inefficient is widely known but not widely understood. To support evaluation of the soil–tire interface a measurement system was created to sense the normal stress at the interface of the tire and soil. To acquire and log the data from this sensor array, a unique data acquisition system was developed and is presented in this paper. The system utilized a microcontroller to process and write data to a compact flash card...
Highlights: ► Embedded data acquisition was successful in measuring soil–tire interface pressure. ► Accelerometers were able to measure tire angular rotation and position. ► Multiple track/hold ADC’s minimized sampling time skew.
Categories: From other sites
Decision support system for nitrogen fertilization using fuzzy theory
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 28 July 2011
A., Papadopoulos , D., Kalivas , T., Hatzichristos
During the last three decades there has been great concern about the impact of agriculture on the environment and its resources. Conventional agriculture is based on whole field and mostly empirical approaches to defining and applying agrochemical inputs, which poses certain limitations regarding the management of existing variability in agricultural land. In this paper, the design and application of a fuzzy decision support system, concerning site specific nitrogen fertilization, is described. The system uses an easy but efficient way of solving the nitrogen equation under agricultural conditions and is based on knowledge elicitation and fuzzy logic methodologies. More specifically, the...
Highlights: ► We developed a fuzzy decision support system which simulates nitrogen balance. ► It is composed by a knowledge base and by a fuzzy modular part. ► The system was developed with MATLAB and was applied in cotton fields. ► A sensitivity analysis of the decision support system was carried out. ► According to the system’s results, 77.6% of the test sites are over fertilized.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 28 July 2011
A., Papadopoulos , D., Kalivas , T., Hatzichristos
During the last three decades there has been great concern about the impact of agriculture on the environment and its resources. Conventional agriculture is based on whole field and mostly empirical approaches to defining and applying agrochemical inputs, which poses certain limitations regarding the management of existing variability in agricultural land. In this paper, the design and application of a fuzzy decision support system, concerning site specific nitrogen fertilization, is described. The system uses an easy but efficient way of solving the nitrogen equation under agricultural conditions and is based on knowledge elicitation and fuzzy logic methodologies. More specifically, the...
Highlights: ► We developed a fuzzy decision support system which simulates nitrogen balance. ► It is composed by a knowledge base and by a fuzzy modular part. ► The system was developed with MATLAB and was applied in cotton fields. ► A sensitivity analysis of the decision support system was carried out. ► According to the system’s results, 77.6% of the test sites are over fertilized.
Categories: From other sites
Green citrus detection using ‘eigenfruit’, color and circular Gabor texture features under natural outdoor conditions
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 28 July 2011
Ferhat, Kurtulmus , Won Suk, Lee , Ali, Vardar
A machine vision algorithm was developed to detect and count immature green citrus fruits in natural canopies using color images. A total of 96 images were acquired in October 2010 from an experimental citrus grove in the University of Florida, Gainesville, Florida. Thirty-two of the total 96 images were selected randomly and used for training the algorithm, and 64 images were used for validation. Color, circular Gabor texture analysis and a novel ‘eigenfruit’ approach (inspired by the ‘eigenface’ face detection and recognition method) were used for green citrus detection. A shifting sub-window at three different scales was used to scan...
Highlights: ► Utilizing typical color digital camera images, green citrus fruits can be detected. ► Images acquired under natural illumination conditions can be used. ► This is the first study, which utilized eigenfruit approach as far as we know.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 28 July 2011
Ferhat, Kurtulmus , Won Suk, Lee , Ali, Vardar
A machine vision algorithm was developed to detect and count immature green citrus fruits in natural canopies using color images. A total of 96 images were acquired in October 2010 from an experimental citrus grove in the University of Florida, Gainesville, Florida. Thirty-two of the total 96 images were selected randomly and used for training the algorithm, and 64 images were used for validation. Color, circular Gabor texture analysis and a novel ‘eigenfruit’ approach (inspired by the ‘eigenface’ face detection and recognition method) were used for green citrus detection. A shifting sub-window at three different scales was used to scan...
Highlights: ► Utilizing typical color digital camera images, green citrus fruits can be detected. ► Images acquired under natural illumination conditions can be used. ► This is the first study, which utilized eigenfruit approach as far as we know.
Categories: From other sites
A morphological assessment system for ‘show quality’ bovine livestock based on image analysis
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 July 2011
Horacio M., González-Velasco , Carlos J., García-Orellana , Miguel, Macías-Macías , Ramón, Gallardo-Caballero , Antonio, García-Manso
Morphological assessment is one important parameter considered in conservation and improvement programs for bovine livestock. This assessment process consists of scoring an animal based on its morphology and is normally carried out by highly qualified staff. These animals are all of agreed ‘show quality’ and hence they are morphologically very similar.This paper presents a system designed to provide an assessment based on a lateral image of the cow. The system consists of two main parts: a feature extraction stage, to reduce the information on the cow in the image to a set of parameters, and a neural network stage to...
Highlights: ► We present a morphological assessment system for ‘show quality’ cows based on images. ► It consist of two stages: image analysis and supervised neural network system. ► First stage: the profiles of the animals are extracted an parameterized using PDM. ► Second stage: a neural network is trained using the parameters and experts’ assessments. ► We obtained a mean error of 5.3%, close to the uncertainty of experts’ assessments.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 July 2011
Horacio M., González-Velasco , Carlos J., García-Orellana , Miguel, Macías-Macías , Ramón, Gallardo-Caballero , Antonio, García-Manso
Morphological assessment is one important parameter considered in conservation and improvement programs for bovine livestock. This assessment process consists of scoring an animal based on its morphology and is normally carried out by highly qualified staff. These animals are all of agreed ‘show quality’ and hence they are morphologically very similar.This paper presents a system designed to provide an assessment based on a lateral image of the cow. The system consists of two main parts: a feature extraction stage, to reduce the information on the cow in the image to a set of parameters, and a neural network stage to...
Highlights: ► We present a morphological assessment system for ‘show quality’ cows based on images. ► It consist of two stages: image analysis and supervised neural network system. ► First stage: the profiles of the animals are extracted an parameterized using PDM. ► Second stage: a neural network is trained using the parameters and experts’ assessments. ► We obtained a mean error of 5.3%, close to the uncertainty of experts’ assessments.
Categories: From other sites
RaGPS: A software application for determining extraterrestrial radiation in mobile devices with GPS
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 July 2011
Jose M., Molina-Martínez , Manuel, Jiménez , Antonio, Ruiz-Canales , Daniel G., Fernández-Pacheco
The application of mobile devices to the food and agriculture sector has been increased notably in the last years, being most of these devices endowed with Global Positioning System by satellites (GPS). This paper presents a new software application developed with LabVIEW for determining extraterrestrial solar radiation, equivalent evaporation and other parameters related to solar position from Global Position Data in handheld devices. These parameters are useful in many applications, such as validating the data supplied by agricultural weather stations, estimating the water needs of the crops where there are no close weather stations, or providing essential information when considering...
Highlights: ► Calculation of solar radiation parameters by using a mobile device with GPS. ► Can be used to validate data from agricultural weather stations, among others. ► There is no software in the market which confers this utility to a mobile device.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 July 2011
Jose M., Molina-Martínez , Manuel, Jiménez , Antonio, Ruiz-Canales , Daniel G., Fernández-Pacheco
The application of mobile devices to the food and agriculture sector has been increased notably in the last years, being most of these devices endowed with Global Positioning System by satellites (GPS). This paper presents a new software application developed with LabVIEW for determining extraterrestrial solar radiation, equivalent evaporation and other parameters related to solar position from Global Position Data in handheld devices. These parameters are useful in many applications, such as validating the data supplied by agricultural weather stations, estimating the water needs of the crops where there are no close weather stations, or providing essential information when considering...
Highlights: ► Calculation of solar radiation parameters by using a mobile device with GPS. ► Can be used to validate data from agricultural weather stations, among others. ► There is no software in the market which confers this utility to a mobile device.
Categories: From other sites
An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoring
Publication year: 2011
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 July 2011
Haitao, Xiang , Lei, Tian
A stand-alone in field remote sensing system (SIRSS) with high spatial and temporal resolution was developed in this study. System control and image processing algorithms consisted of image acquisition control, camera parameter control, crop canopy reflectance calibration, image rectification, image background segmentation and vegetation indices map generation were developed and embedded in the SIRSS. The SIRSS is able to automatically capture multispectral images over a testing field at any predefined time points during the growing season and process captured images in real-time. This paper presents the SIRSS system design, image analysis procedures and determination of vegetation indices. In a validation...
Highlights: ► We develop a stand-alone in field remote sensing system (SIRSS) with high spatial and temporal resolution. ► We develop system control and image processing algorithms to automatically acquire and process images. ► We investigate temporal effects of vegetation indices.
Source: Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 23 July 2011
Haitao, Xiang , Lei, Tian
A stand-alone in field remote sensing system (SIRSS) with high spatial and temporal resolution was developed in this study. System control and image processing algorithms consisted of image acquisition control, camera parameter control, crop canopy reflectance calibration, image rectification, image background segmentation and vegetation indices map generation were developed and embedded in the SIRSS. The SIRSS is able to automatically capture multispectral images over a testing field at any predefined time points during the growing season and process captured images in real-time. This paper presents the SIRSS system design, image analysis procedures and determination of vegetation indices. In a validation...
Highlights: ► We develop a stand-alone in field remote sensing system (SIRSS) with high spatial and temporal resolution. ► We develop system control and image processing algorithms to automatically acquire and process images. ► We investigate temporal effects of vegetation indices.
Categories: From other sites
