… the identification and classification of diseases in the plant. … detection, pest identification,
etc. Another future work includes the identification of plant diseases with different plant disease …

… an efficient rice plant disease detection method based on convolution neural network approach.
… pyramid based super resolution model to detect and vigil the pest of farms. The residual …

… In this paper, we apply transfer learning to six state-of-the-art networks for the plant
disease and pest classification problem. After evaluating the classifiers individually, using the …

… a deep-learning-based approach is presented for the plant disease detection and classification
… deal with different issues like pest detection, fruit detection, plant leave classification, fruit …

… Recently, convolutional neural networks (CNNs), one specific type of ANN, have been
applied to the classification of various plant diseases and made successful achievements [7]. But …

… At present, the research of plant diseases and insect pests based on deep learning involves
a … the basic tasks of classification and detection of diseases and insect pests, but also more …

… a novel 14-layered deep convolutional neural network (14-DCNN) to … for pest detection
using GAN based image augmented dataset. The testing result shows that the classification …

… Different forms of deep neural networks (DNNs) have attained significant performance over
hyperspectral analysis [21]. Some of the popular CNN models are GoogLeNet [22], AlexNet […

… a video detection system for detecting rice diseases and pests … of real-time crop lesion video
detection. The system contains a … classification with deep convolutional neural networks. In …

… to distinguish fourteen crop varieties and twenty-six bugs. The … [29] proposed a novel method
to identify rice crop diseases … a deep convolutional neural network for the classification of …