Computers and Electronics in Agriculture
Papers 4466
1 page of 447 pages (4,466 results)
#1A.E. Souza Cunha (UMaine: University of Maine)
#2J. Rose (UMaine: University of Maine)
Last.Frank Drummond (UMaine: University of Maine)H-Index: 11
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Abstract Honey bees are of vital importance to global crop production. Colony losses have reached historic levels in Europe and North America and are high in other parts of the world. The decline in honey bee health has resulted in the demand for novel mechanisms of monitoring colony health by beekeepers and researchers. Methods of monitoring bee health traditionally involve opening of the hive either for manual data collection or the use of invasive electronic monitors. This study evaluates a b...
#1Bin Li (CIT: Center for Information Technology)
#2Xuting Zhao (CIT: Center for Information Technology)
Last.Bin Luo (CIT: Center for Information Technology)
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Abstract Leaf water content (LWC) is one of the physiological parameters most commonly used for describing crop growth status and productivity. Thus, rapid and non-destructive methods for the prediction of LWC are important. Here, a rapid and accurate LWC monitoring method using terahertz time-domain spectroscopy (THz-TDS) was tested on soybean. A high-precision mathematical model was developed to predict LWC based on the results of THz-TDS. Next, the model was used to study the effect of variou...
#1Wenzhang Ge (CAU: China Agricultural University)
#2Jinlong Li (CAU: China Agricultural University)
Last.Shaojiang Chen (CAU: China Agricultural University)
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Abstract Haploid breeding is a significant technology of maize breeding. Nondestructively, rapidly and accurately haploid kernel identification method is the basis of developing haploid breeding technology. The commonly adopted maize haploid recognition methods at present are mainly near-infrared spectroscopy (NIRS), machine vision and nuclear magnetic resonance (NMR) oil measurement. NMR spectrum analysis method based on pattern recognition was used in this paper for haploid recognition, which ...
#1Nicolas Wagner (CNRS: Centre national de la recherche scientifique)
#2Violaine Antoine (CNRS: Centre national de la recherche scientifique)
Last.Isabelle VeissierH-Index: 38
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Abstract Sickness behaviour is characterised by a lethargic state during which the animal reduces its activity, sleeps more and at times when normally awake, reduces its feed and water intake, and interacts less with its environment. Subtle modifications in behaviour can materialise just before clinical signs of a disease. Recent sensor developments enable continuous monitoring of animal behaviour, but the shift to abnormal animal activity remains difficult to detect. We explored the use of Mach...
#1Yaoguang WeiH-Index: 2
#2Qiong Wei (CAU: China Agricultural University)
Last.Dong AnH-Index: 1
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Abstract Since open sea cage culture sites are far from shore, the sea situation is complex and changeable, and the monitoring of cage culture water quality, fish behaviour, cage operation and other states is the basis of intelligent control of cage casting, feeding, capture, and cage washing to achieve high yield, high efficiency, and safety of cage farming. First, a cage farming model is introduced for analysis of the needs of intelligent monitoring and control technology. The applications of ...
#1Zhijun Chen (Shenyang Agricultural University)H-Index: 1
#2Shijun Sun (Shenyang Agricultural University)H-Index: 1
Last.Xudong Zhang (Shenyang Agricultural University)H-Index: 1
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Abstract Accurate prediction of crop actual evapotranspiration (ETc) has great significance in designing irrigation plans and improving the water-resource use efficiency. However, existing experiment methods are either expensive or labor-costly, and the crop-coefficient (Kc) approach always results in high errors in calculating ETc, especially for nonstandard conditions like drip irrigation under plastic-film mulch. In this study, a Temporal Convolution Network (TCN) with two engineering methods...
#1Yang Li (Shihezi University)
#2Jiachen Yang (TJU: Tianjin University)
Abstract Xinjiang is the major cotton-producing area in China, also well known in the world for its high-quality cotton. The growth and quality of cotton are closely related to the pest attack, but it is difficult for farmers to manually recognize all the types of pests because of the similar appearance. To solve this problem, we propose a few-shot cotton pest recognition method, which only needs few raw training data, quite different from the typical deep learning methods. We use two datasets t...
#2Yang Wang (CAU: China Agricultural University)H-Index: 1
Last.Daoliang Li (CAU: China Agricultural University)H-Index: 19
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Abstract In a recirculating aquaponic system (RAS), the heating method based on an electric heater requires considerable amounts of electrical energy to maintain the water temperature for optimal warm-water fish growth conditions. Minimizing electrical energy consumption in the RAS is a great challenge. To solve this problem, a novel heating method that uses a combination of helically coiled heat exchangers (HCHEs) and a thermal energy storage (TES) unit is proposed to replace the electric heate...
#1Antonio Rafael Braga (ASU: Appalachian State University)
#2Danielo G. Gomes (UFC: Federal University of Ceará)H-Index: 9
Last.Joseph A. Cazier (ASU: Appalachian State University)H-Index: 9
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Abstract Bees are the main pollinators of most insect-pollinated wild plant species and are essential for the maintenance of plant ecosystems and food production. However, over the past three decades they have been suffering from numerous health challenges, including changes in habitat, pollutants and toxins, pests and diseases, and competition for resources. An attempt to mitigate this problem is to estimate the health status of colonies and indicate an imminent collapsing state to beekeepers. ...
Top fields of study
Decision support system
Precision agriculture
Control engineering
Computer vision
Remote sensing