CEF-YOLOv11 method for wolfberry ripeness recognition in smart harvesting

Research on maize weed density extraction method based on improved DeepLabV3+

Corn field weed detection method based on improved YOLOv5s

Nutritional diagnosis of nitrogen, phosphorus and potassium in rice based on the residual neural network

Ammonia concentration forecasting algorithm in layer house based on two-stage attention mechanism and LSTM

College of Information and Electrical Engineering/Key Laboratory of Standardization of Agricultural Informatization， Ministry of Agriculture and Rural Affairs/National Digital Fishery Innovation Center of the Ministry of Agriculture and Rural Affairs/Key Laboratory of Smart Breeding Technology， Ministry of Agriculture and Rural Affairs/Beijing Engineering and Technology Research Center for Internet of Things in Agriculture/National Digital Agricultural Product Circulation Innovation Sub center of the Ministry of Agriculture and Rural Affairs， China Agricultural University

College of Mechanical and Electrical Engineering， Agricultural University of Hebei

Hebei Provincial Innovation Center of Intelligent Agricultural Equipment Technology

Beijing Research Center for Intelligent Equipment Technology， Beijing Academy of Agriculture and Forestry Sciences

College of Engineering， China Agricultural University