[HTML][HTML] Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review

M Mahmood ur Rehman, J Liu, A Nijabat, M Faheem… - Agronomy, 2024 - mdpi.com
Timely and accurate detection of diseases in vegetables is crucial for effective management
and mitigation strategies before they take a harmful turn. In recent years, convolutional …

Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network

S Abisha, AM Mutawa, M Murugappan, S Krishnan - Plos one, 2023 - journals.plos.org
Different diseases are observed in vegetables, fruits, cereals, and commercial crops by
farmers and agricultural experts. Nonetheless, this evaluation process is time-consuming …

Classification of potato disease with digital image processing technique: a hybrid deep learning framework

FTJ Faria, MB Moin, A Al Wase, MR Sani… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Potatoes are among the major vegetables in agricultural regions, and it is farmed and
utilized all over the world. Potatoes are a high-protein food with several health benefits, but …

A DEEP LEARNING APPROACH FOR ENHANCING CROP DISEASE DETECTION AND PESTICIDE RECOMMENDATION: Tri-bridNet WITH COLLABORATIVE …

S Almotairi, S Mishra, O Alharbi… - … and Applications in …, 2024 - pphmjopenaccess.com
To ensure the crop health and optimize output in a sustainable way are challenges in the
agricultural sector. To meet these challenges, the objective should be prompt detection of …

Application of support vector classifier for mango leaf disease classification

G Deena, K Raja, M Azhagiri, WA Breen… - The Scientific …, 2023 - scientifictemper.com
Abstract In India, Mango is the fruit of high economic and ecological importance as it exports
in large quantities. 1000 varieties of mangoes are cultivated and mostly supported …

An Advanced Approach to Detect Plant Diseases by the Use of CNN Based Image Processing

S Bhattacharya, A Banerjee, S Ray, S Mandal… - … on Innovations in …, 2022 - Springer
Deep learning has been used to deliver state-of-the-art accuracy in various important
applications such as object detection, speech recognition etc. Recently, this technology …

[PDF][PDF] Usage of Image Processing Techniques in Disease Detection and Classification through Bioinspired Machine Learning Approaches: A Review

AK Mandal - academia.edu
A self-learning disease detection model will be useful for identifying COVID-19, suspected
individuals using chest X-rays, and other skin disorders using skin images of infected …