Plant disease recognition using residual convolutional enlightened Swin transformer networks

P Kalpana, R Anandan, AG Hussien, H Migdady… - Scientific Reports, 2024 - nature.com
Agriculture plays a pivotal role in the economic development of a nation, but, growth of
agriculture is affected badly by the many factors one such is plant diseases. Early stage …

Machine Learning-based Peer-to-Peer Platform for Precision Agriculture in Crop Growth and Disease Monitoring

A Imtiaz, H Gousia, K Parmod - Journal of Computer …, 2023 - research-reels.com
Farmer suicides are a significant problem in India due to various circumstances. One of the
main problems is the financial side of managing and growing crops while still trying to make …

Detection and monitoring for enhanced prevention of grain plant disease using classification-based deep ensemble neural networks in smart agriculture

P Goyal, DK Verma, S Kumar - International Journal of Remote …, 2025 - Taylor & Francis
Plant diseases lead to productivity loss, although they may be controlled with ongoing
observation. Examiners have struggled long with the challenge of accurately detecting plant …

Effective and efficient automatic detection, prediction and prescription of potential disease in berry family

RR Kulkarni, AD Sharma, BK Koundinya… - Multimedia Tools and …, 2024 - Springer
The grape cultivation industry in India faces significant challenges from fungal pests and
diseases, leading to substantial economic losses. Detecting leaf diseases in grape plants at …

DCNN Based Disease Prediction of Lychee Tree

S Islam, S Akter, M Islam, MA Rahman - International Conference on Deep …, 2022 - Springer
Tree disease classification is needed to determine the affected leaves as it controls the
economic importance of the trees and their products and decreases their eco-friendly …

Identification And Detection Of Tomato Plant Disease From Leaf Using Deep Reinforcement Learning

N Musthafa, PJ Ahmed, KM Salah… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
This study introduces a novel deep reinforcement learning method for the automated
diagnosis of tomato plant diseases. The proposed method analyses leaf photos to …

Machine Learning based Disease and Pest detection in Agricultural Crops

S Balasubramaniam, SG Nelson… - … on Internet of Things, 2024 - publications.eai.eu
INTRODUCTION: Most Indians rely on agricultural work as their primary means of support,
making it an essential part of the country's economy. Disasters and the expected loss of …

[PDF][PDF] Cotton Leaf Disease Detection Using Vision Transformers: A Deep Learning Approach

M Ahmad, F Ullah, ARA Hamza, M Usman, M Imran… - crops, 2024 - researchgate.net
Cotton is one of the world's most significant positions as a key cash crop used to make
textiles. It also produces cottonseed, which is used as oil and animal feed. Despite being …

A Review on Plant Diseases Classification Methods Using Machine Learning Algorithms

AA Anuar, MAA Sani, NS Sani, MI Yusof… - Analyzing Education …, 2024 - Springer
Plants are one of nature that are subjected to diseases. Even though it is a natural
occurrence, plant diseases are the major problems in plantation industries. It can cause a …

Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development.

P Visutsak, X Liu, KH Ryu… - … on Internet & …, 2024 - search.ebscohost.com
Caladium bicolor is one of the most popular plants in Thailand. The original species of
Caladium bicolor was found a hundred years ago. Until now, there are more than 500 …