过去一年中添加的文章，按日期排序
Enhanced crop health monitoring: attention convolutional stacked recurrent networks and binary Kepler search for early detection of paddy crop issues
R Elakya, T Manoranjitham - Environmental monitoring and assessment, 2024 - Springer
52 天前 - … , nutrient deficiencies, and pest patterns at an early stage by using the deep artificial
neural network … -BKS algorithm is proposed to detect and classify paddy plant diseases. By …
neural network … -BKS algorithm is proposed to detect and classify paddy plant diseases. By …
Smart Farming and Human Bioinformatics System Based on Context-Aware Computing Systems
SA Alex, TP Pallavi, GC Akshatha - Microbial Data Intelligence and …, 2024 - Springer
133 天前 - … ’ health problems. In the third stage, the FP-growth algorithm and densely connected
recurrent neural network (DC-RNN) are used to classify healthy farmers and healthy crops. …
recurrent neural network (DC-RNN) are used to classify healthy farmers and healthy crops. …
Black gram disease classification via deep ensemble model with optimal training
N Hajare, AS Rajawat - International Journal of Image and Graphics, 2023 - World Scientific
323 天前 - … The agriculture sector needs to classify plant nutrient deficiencies in order to
increase crop … Joly, “Attention-based recurrent neural network for plant disease classification,” …
increase crop … Joly, “Attention-based recurrent neural network for plant disease classification,” …