Application of Vision Technology and Artificial Intelligence in Smart Farming

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 specific behaviors of livestock and poultry in large-scale farms based on CV and AI to improve 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 to progress toward perfect ripeness.

This Special Issue focuses on the application of CV and AI in smart farming, including breeding and planting. Topics of interest include but are not limited to the following: 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, design and optimization of robots for livestock and poultry breeding based on vision technology and artificial intelligence, non-destructive detection of meat quality, and agricultural big data analytics based on sensor data and deep learning. Original research articles and reviews are welcome. 

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

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