Tomato spotted wilt disease severity levels detection: a deep learning methodology

V Salonki, A Baliyan, V Kukreja… - 2021 8th International …, 2021 - ieeexplore.ieee.org
The wide variety of diseases in the tomato plant affects the quality and quantity of the
production. To counteract the problem of disease in tomato plants deep learning (DL) based …

[HTML][HTML] Tomato disease object detection method combining prior knowledge attention mechanism and multiscale features

J Liu, X Wang - Frontiers in Plant Science, 2023 - frontiersin.org
To address the challenges of insufficient accuracy in detecting tomato disease object
detection caused by dense target distributions, large-scale variations, and poor feature …

A Comprehensive Review on Automatic Detection and Early Prediction of Tomato Diseases and Pests Control Based on Leaf/Fruit Images

S Sharma, G Sharma, E Menghani… - … Conference on Cyber …, 2021 - Springer
Recently, deep learning has proven to be extremely effective in solving challenges
connected to the identification of plant diseases. Nevertheless, when a model trained on a …

CNN Model Suitability Analysis for Prediction of Tomato Leaf Diseases

C Vengaiah, M Priyadharshini - 2023 6th International …, 2023 - ieeexplore.ieee.org
India's most popular vegetable crop is tomatoes, but despite the tropical climate, tomato
plant growth is affected by The circumstances of weather and other factors. Plant disease …

A Novel Approach for Plant Leaf Disease Predictions Using Recurrent Neural Network RNN Classification Method

V Sivalingam, R Elarabi, J Bhargavi… - … in Applied Sciences …, 2023 - semarakilmu.com.my
Agriculture is an essential part of our country and is only necessary for its development. The
problem here is leaf spot disease, which significantly affects the growth of food production …

An Intuitive Convolutional Neural Network to Perceive Tomato Leaf Ailment

P Shourie, V Anand, H Gupta - 2023 14th International …, 2023 - ieeexplore.ieee.org
The biological properties of tomato leaves must be categorized to determine if the plant
needs to be treated with pesticides or insecticides to produce a decent harvest. To maximize …

Leaf disease detection using convolutional neural network

S Omar, R Jain, V Bali - … on Machine Learning, Big Data, Cloud …, 2022 - ieeexplore.ieee.org
The growth of a country is based upon the agricultural as well as its industrial development.
In India, the two most commonly used vegetables are tomato and potato. In this article, there …

[PDF][PDF] 阁EasyChair Preprint

S Reddy - 2024 - easychair.org
Malaria is a life-threatening disease caused by female anopheles mosquito bitesthat are
prevalent in many regions of the world. We introduce a deep convolutional neural network …

Potato Disease Detection and Recognition Using Deep Learning

R Chauhan, A Prajapati… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Potatoes, being globally recognized as the most popular vegetable, and it is also known as
“Universal vegetable”. But potatoes face significant damage caused by various leaf …

Prediction of tomato leaf disease using transfer learning algorithms InceptionV3 and Inception Resnetv2

U Myneni, G Pradeepini - AIP Conference Proceedings, 2023 - pubs.aip.org
It is crucial to detect and control plant disease in advance for better yield from crops. Plant
diseases can be detected using leaves because the color, spots, and texture are different …