A comparative analysis of machine learning algorithms for detection of organic and nonorganic cotton diseases

S Kumar, A Jain, AP Shukla, S Singh… - Mathematical …, 2021 - Wiley Online Library
Cotton is the natural fiber produced, and the commercial crop grown in monoculture on 2.5%
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …

Towards an intelligent approaches for cotton diseases detection: A review

R Manavalan - Computers and Electronics in Agriculture, 2022 - Elsevier
Cotton is one of the leading fibers and plays a dominant role in the global industrial and
agricultural economy. It is a primary material for the textile industry production. Various …

Machine learning regression technique for cotton leaf disease detection and controlling using IoT

AA Sarangdhar, VR Pawar - 2017 international conference of …, 2017 - ieeexplore.ieee.org
Cotton is one of the most important cash crops in India. Every year the production of cotton is
reducing due to the attack of the disease. Plant diseases are generally caused by pest insect …

[PDF][PDF] Crop disease detection using machine learning: Indian agriculture

A Badage - Int. Res. J. Eng. Technol, 2018 - academia.edu
Plant diseases are generally caused by pest, insects, pathogens and decrease the
productivity to large scale if not controlled within time. Agriculturists are facing lose due to …

A comparative study on thyroid disease detection using K-nearest neighbor and Naive Bayes classification techniques

K Chandel, V Kunwar, S Sabitha, T Choudhury… - CSI transactions on …, 2016 - Springer
Data mining is an important research activity in the field of medical sciences since there is a
requirement of efficient methodologies for analyzing and detecting diseases. Data mining …

[HTML][HTML] Paddy plant disease recognition, risk analysis, and classification using deep convolution neuro-fuzzy network

VV Kumar, KMK Raghunath… - Journal of Mobile …, 2022 - journals.riverpublishers.com
A significant number of the world's population is dependent on rice for survival. In addition to
sugarcane and corn, rice is said to be the third most growing staple food in the world. As a …

Automatic clustering and classification of coffee leaf diseases based on an extended kernel density estimation approach

RI Hasan, SM Yusuf, MS Mohd Rahim, L Alzubaidi - Plants, 2023 - mdpi.com
The current methods of classifying plant disease images are mainly affected by the training
phase and the characteristics of the target dataset. Collecting plant samples during different …

Disease detection and severity estimation in cotton plant from unconstrained images

A Parikh, MS Raval, C Parmar… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
The primary focus of this paper is to detect disease and estimate its stage for a cotton plant
using images. Most disease symptoms are reflected on the cotton leaf. Unlike earlier …

[HTML][HTML] Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants

JD Omaye, E Ogbuju, G Ataguba, O Jaiyeoba… - Artificial Intelligence in …, 2024 - Elsevier
Plant disease detection has played a significant role in combating plant diseases that pose a
threat to global agriculture and food security. Detecting these diseases early can help …

Cucumber disease detection using artificial neural network

P Pawar, V Turkar, P Patil - 2016 international conference on …, 2016 - ieeexplore.ieee.org
India is an agricultural country; wherein most of the population depends on agricultural
products. Disease on any plants leads to the considerable reduction in both the quality and …