Computers and Electronics in Agriculture

Title Publication Date Language Citations
Decision support systems for agriculture 4.0: Survey and challenges2020/03/01English271
Shape identification and particles size distribution from basic shape parameters using ImageJ2008/10/01English268
Sensing technologies for precision specialty crop production2010/10/01English257
Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture2019/02/01English256
Monitoring plant diseases and pests through remote sensing technology: A review2019/10/01English253
Weed detection in soybean crops using ConvNets2017/12/01English244
Wheat yield prediction using machine learning and advanced sensing techniques2016/02/01English242
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network2018/11/01English229
Review of IoT applications in agro-industrial and environmental fields2017/11/01English229
Relating apparent electrical conductivity to soil properties across the north-central USA2005/03/01English224
CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support2012/06/01English221
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments2020/11/01English220
Early detection of Fusarium infection in wheat using hyper-spectral imaging2011/02/01English216
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection2018/07/01English213
An IoT based smart irrigation management system using Machine learning and open source technologies2018/12/01English211
Automatic segmentation of relevant textures in agricultural images2011/01/01English210
Crop pest classification based on deep convolutional neural network and transfer learning2019/09/01English209
Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall?2008/11/01English208
Analysis of transfer learning for deep neural network based plant classification models2019/03/01English204
Vision-based pest detection based on SVM classification method2017/05/01English203
Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees2013/02/01English201
Crop yield prediction with deep convolutional neural networks2019/08/01English197
An automated detection and classification of citrus plant diseases using image processing techniques: A review2018/10/01English196
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild2019/06/01English196
A review of key techniques of vision-based control for harvesting robot2016/09/01English194
Pest identification via deep residual learning in complex background2017/09/01English190
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems2019/01/01English189
Imaging from an unmanned aerial vehicle: agricultural surveillance and decision support2004/07/01English188
Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case2017/06/01English187
The role of RFID in agriculture: Applications, limitations and challenges2011/10/01English187