The Application of AI Technology Across the Entire Technical Chain of Combine Harvesters: A Systematic Review
Zhen-Ying Xu·Yue Wang·Jiayi Mao·Yun Yu·Jin Chen·Ying-Jun Lei·Liling Han·Wei Fan·Chao Chen·Rui-Xue Ren
As complex agricultural machinery, traditional combine harvesters face numerous challenges during operation due to their reliance on manual observation. To meet the demands of modern agriculture, intelligent combine harvesters have emerged. Intelligent sensing uses multi-sensor fusion and deep learning to monitor crop lodging, feed rate, loss rate, and impurity content. Under suboptimal conditions, multi-source fusion strategies improve perception reliability. Information processing and decision