Artificial Intelligence Powered End-to-End Agricultural Machinery: Intelligent Transformation of Design and Maintenance Systems
Reliable condition monitoring and fault diagnosis in agricultural machinery depend on interpreting sensor measurements under variable field conditions. Noise, occlusion, changing loads, and sensor degradation can obscure relevant features, while complementary measurements offer opportunities to reduce information gaps....