Artificial Intelligence and Intelligent Sensing Applications in Precision Agriculture

Dear Colleagues,

Intelligent sensing technologies are transforming agriculture into a data-driven industry, and artificial intelligence is an important part of precision agriculture. Applying artificial intelligence and intelligent sensing technologies can significantly enhance productivity, efficiency, and sustainability. The temporal, spatial, and individual information related to the growing environment of crops and crop characteristics are gathered through various intelligent sensing technologies. Artificial intelligence algorithms, including deep learning, image processing, and multimodal fusion, are then applied to process or combine and analyze data from various sources to achieve agricultural intelligent production and management, such as with precision irrigation, crop monitoring, fertilizer inputs, etc..

This Special Issue seeks to present the most recent research on artificial intelligence or intelligent sensing technologies in regard to precision agriculture. Authors are encouraged to submit high-quality research papers on intelligent agricultural sensors, information fusion technology, crop recognition, disease and pest detection, autonomous navigation technology, growth state recognition, agricultural robots (weeding, planting, fertilization, etc.), and other related topics.

Prof. Dr. Dequan Zhu
Dr. Juan Liao
Dr. Wentao Ma
Dr. Yuwei Wang
Guest Editors

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