Application of Vision Technology and Artificial Intelligence in Smart Farming—2nd Edition

Dear Colleagues,

Computer vision (CV) and artificial intelligence (AI) have been gaining traction in agriculture. From reducing production costs with intelligent automation to boosting productivity, CV and AI have massive potential to enhance the overall functioning of smart farming. Monitoring and analyzing the specific behaviors of livestock and poultry in large-scale farms, based on CV and AI, improves our knowledge of intensively raised livestock and poultry behaviors in relation to modern management techniques, allowing for improved health, welfare, and performance. In the field of planting, CV approaches are required to extract plant phenotypes from images and automate the detection of plants and plant organs. AI approaches give growers weapons against pests. Smart farming requires considerable processing power. The application of CV and AI helps crops progress towards a perfect stage of ripeness.

Based on the first volume, a Special Issue focused on the application of CV and AI in smart farming, we decided to continue with a second volume, researching topics that may include but are not limited to the following: the design and optimization of agricultural sensors, behavior recognition of livestock and poultry based on vision technology and deep learning, automation technology in agricultural equipment based on vision technology, the design and optimization of robots for livestock and poultry breeding based on vision technology and artificial intelligence, the non-destructive detection of meat quality, and agricultural big data analytics based on sensor data and deep learning. Both original research articles and reviews are accepted.

Dr. Xiuguo Zou
Dr. Xiaochen Zhu
Dr. Wentian Zhang
Dr. Yan Qian
Dr. Yuhua Li
Guest Editors

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