… were developed to perform plant disease detection and diagnosis using simple leaves
images of healthy and diseased plants, through deep learning methodologies. Training of the …

… in the deep learning field which can … detection and diagnosis of several types of diseases.
Our chapter deals with exploring deep learning usage in efficient diagnosis of certain disease …

… Many Machine Learning (ML) models have been employed for the detection and classification
of plant diseases but, after the advancements in a subset of ML, that is, Deep Learning (DL…

… of deep learning technology in the field of crop leaf disease … for the detection of plant leaf
disease using deep learning and … who study the detection of plant diseases and insect pests. At …

… of plant disease detection various machine learning (ML) as well as deep learning (DL) …
(SGD)) & DL (Inception-v3, VGG-16, VGG-19) in terms of citrus plant disease detection. The …

… feasibility using a deep learning approach utilizing 54,306 images of 14 crop species with
26 diseases (or healthy) … An example of each crop—disease pair can be seen in Figure 1. …

… from the evaluation of various existing deep learning models and finally mentioned the future
… research to learn larger capabilities of deep learning while detecting plant diseases by …

… diseases and also overcome the shortcomings of continuous human monitoring. In this work,
we propose the use of a deep learning … to classify tomato diseases. The performance of two …

… Identification of these disease timely and curing them is essential to prevent … a deep learning
based model named plant disease detector. The model is able to detect several diseases …

… This study therefore shows that transfer learning applied to the Inception v3 deep learning
model offers a promising avenue for in-field disease detection using convolutional neural …