… in tomato plant. We examine the areas of tomato plant research where deep learning is
applied, data preprocessing techniques applied, transfer learning and augmentation techniques …

… Abstract—The aim of this work is to detect diseases that occur on plants in tomato fields or
in … In this work, deep learning is used to detect diseases from the leaves of the tomato plants. …

… Our goal is to find the more suitable deep-learning architecture for our task. Therefore, we …
“deep learning meta-architectures”. We combine each of these meta-architectures with “deep …

… The aim of this work is to automate deep learning based tomato disease detection system
to identify four different disease categories which affects tomato crop. The figure 3 specifies …

… a solution to detect tomato plant disease using a deep leaning-based system utilizing the
plant leaves image data. We utilized an architecture for deep learning based on a recently …

… Inspired by the deep learning breakthrough in image recognition, this study aims to apply
state-of-the-art deep learning architecture to detect visual symptoms of tomato plants for the …

… has paved the way for camera-assisted disease diagnosis for tomato. This … in tomato plants.
A motor-controlled image capturing box was made to capture four sides of every tomato plant …

… need to have a system that could detect plant diseases in accurate and faster manner. This
… based on deep learning technique that automates the process of classifying tomato leaf …

… We introduce some baseline approaches on deep learning for image classification and object
detection. Then, we review some techniques for plant disease recognition. Deep Learning …

… deep learning instance detection using MaskRCNN was applied to the problem of detecting
tomato … Experimental results show that this approach works well for the detection of tomatoes …