[PDF][PDF] REVOLUTIONIZING COTTON FARMING: CO-CNN INTEGRATION FOR DISEASE IDENTIFICATION AND YIELD PREDICTION

S GOVINDASAMY, D JAYARAJ - Journal of Theoretical and Applied …, 2024 - jatit.org
In agriculture, accurate identification of cotton plant diseases and prediction of yield are
crucial for ensuring crop health and optimizing production. This abstract explores the …

[PDF][PDF] Collaborative ant colony optimization-assisted support vector machine for accurate cotton leaf disease classification and yield prediction

S Govindasamy, D Jayaraj - Journal of Theoretical and Applied Information …, 2023 - jatit.org
Cotton leaf diseases pose a significant threat to the economic viability of cotton farming,
leading to substantial yield losses. However, the lack of a reliable classification system and …

Cotton Disease Prediction System

R Jadhav, K Vaishnavi, M Isha, K Vedant… - … : Theory and Practice, 2024 - kuey.net
Abstract The Cotton Disease Prediction System represents a groundbreaking approach in
agricultural management, addressing the persistent threats posed by diseases to this pivotal …

Swincnn: A hybrid deep learning architecture for accurate cotton disease prediction

S Muthurajkumar, GK Kumar - 2023 12th International …, 2023 - ieeexplore.ieee.org
Cotton crop diseases can have a substantial impact on crop productivity and quality in the
agricultural industry. The accurate and timely identification of these disorders is critical for …

Deep insights into plant disease identification: a comparative evaluation of neural networks

P Abhishek, V Ramesh - Ştiinţă, educaţie, cultură, 2024 - ibn.idsi.md
Cotton, a vital crop in India constituting 23% of exports, grapples with challenges like
diminished yield due to leaf diseases such as Cercospora, Bacterial blight, Ascochyta blight …

Cotton Guard: Revolutionizing Agriculture with Smart Disease Management for Enhanced Productivity and Sustainability

R Arthy, SS Ram, SGM Yakubshah… - … Research Journal on …, 2024 - irjaeh.com
Cotton stands as a pivotal crop globally, offering fibers for clothing, feed for livestock, and oil
for diverse industries Nonetheless, its production faces a myriad of threats from various …

A Novel Hybrid Approach Based on CNN for Corn Diseases Detection

A Elmasry, W Abdullah, BG Kang… - Optimization in …, 2024 - sciencesforce.com
Corn is one of the most economically important crops globally, significantly improving food
security and agricultural productivity. However, corn plants face various foliar diseases …

CoDet: A novel deep learning pipeline for cotton plant detection and disease identification

RT Thivya Lakshmi, J Katiravan, P Visu - Automatika, 2024 - Taylor & Francis
Cotton detection is a crucial component of the agricultural sector because it enables farmers
to correctly identify and keep track of the development of cotton crops. Systems for …

Cotton Plant Disease Detection Using CNN

S Bera, P Kumar - 2023 IEEE 8th International Conference for …, 2023 - ieeexplore.ieee.org
The economy and everyday existence of our country are fundamentally reliant on
agriculture, but diseases like anthracnose and crown gall, caused by fungi and bacteria …

Explainable Neural Network for Classification of Cotton Leaf Diseases

J Amin, MA Anjum, M Sharif, S Kadry, J Kim - Agriculture, 2022 - mdpi.com
Every nation's development depends on agriculture. The term “cash crops” refers to cotton
and other important crops. Most pathogens that significantly harm crops also impact cotton …