Abstract Monitoring plant diseases is essential for farmers to secure crop quantity and quality. Deep learning has recently been applied disease recognition help take prompt proper actions prevent reductions in Generally, deep requires a large‐scale dataset with supervised information annotated often by specialists. However, because collecting images natural environments difficult obtaining ann...

Abstract The feces of sick chickens often show a certain degree morbidity. It is an effective method to identify by deep learning. Concerning the environmental factors chicken manure shooting that have great influence, this paper proposes introduction mixed attention mechanism into ResNeXt50 network model and applies it data set. While using residual structure learning, enhances perception lear...

Detection of the diseases on tomatoes in advance and making early intervention treating increases production amount, efficiency quality which will satisfy consumer with a more affordable shelf price. In this way, efforts farmers who are waiting for harvest throughout season not be wasted. paper compact convolutional neural network (CNN) is proposed identification task where comprised only 6 lay...

Plant disease classification and prevention of spreading the at earlier stages based on visual leaves symptoms Pest recognition through deep learning-based image is in forefront research. To perform investigation pest classification, Transfer Learning (TL) approach used EfficientNet-V2. TL requires limited labelled data shorter training time. However, limitation pre-trained model network’s topo...