Machine learning in cereal crops disease detection: a review

FG Waldamichael, TG Debelee, F Schwenker… - Algorithms, 2022 - mdpi.com
Cereals are an important and major source of the human diet. They constitute more than two-
thirds of the world's food source and cover more than 56% of the world's cultivatable land …

Novel cropdocnet model for automated potato late blight disease detection from unmanned aerial vehicle-based hyperspectral imagery

Y Shi, L Han, A Kleerekoper, S Chang, T Hu - Remote Sensing, 2022 - mdpi.com
The accurate and automated diagnosis of potato late blight disease, one of the most
destructive potato diseases, is critical for precision agricultural control and management …

Computer vision and machine learning for smart farming and agriculture practices

K Kalinaki, W Shafik, TJL Gutu… - Artificial intelligence tools …, 2023 - igi-global.com
The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …

Multi-scale feature fusion-based lightweight dual stream transformer for detection of paddy leaf disease

A Kumar, DP Yadav, D Kumar, M Pant… - Environmental Monitoring …, 2023 - Springer
Traditionally, rice leaf disease identification relies on a visual examination of abnormalities
or an analytical result obtained by growing bacteria in the research lab. This method of …

A novel hybrid approach for rice plant disease detection based on stacked autoencoder and convolutional neural network model

M Agrawal, S Agrawal - International Journal of Services …, 2023 - inderscienceonline.com
Among all staple of foods, rice is most commonly used all over the world. A rice plant
disease is a major concern that shows its negative effect on crop yields. If regular and proper …

Classification of rice leaves diseases by deep CNN-transfer learning approach for improved Rice Agriculture

M Moiz, M Akmal, MS Ishtiaq… - … Conference on Emerging …, 2022 - ieeexplore.ieee.org
Rice leaves may suffer serious impacts such as low production or yield of the respective
products if necessary precautions are not taken. Therefore, to ensure the healthy and normal …

Towards Sustainable Agriculture: A Novel Approach for Rice Leaf Disease Detection Using dCNN and Enhanced Dataset

MH Bijoy, N Hasan, M Biswas, S Mazumdar… - IEEE …, 2024 - ieeexplore.ieee.org
Rice is one of the foremost food grains that dispenses sustenance to about half of the world's
population. It is cultivated all over the world. The leaf disease detection of this crop is one of …

Rice leaf disease recognition using gray-level co-occurrence matrix and statistical features

S Saha, SMM Ahsan - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Developing a novel technique conducive to plant leaf disease recognition and classification
is an expanded research sector. Normally identification of different rice leaf diseases in a …

[PDF][PDF] Classification of Cotton Leaf Diseases Using AlexNet and Machine Learning Models

P Borugadda, R Lakshmi, S Govindu - 2021 - academia.edu
Computer vision has been demonstrated as state-of-the-art technology in precision
agriculture in recent years. In this paper, an Alex net model was implemented to identify and …

Paddy Leaf Disease Classification Using Machine Learning and Deep Learning Techniques

PS Duth, PR Lal - 2022 International Conference on Futuristic …, 2022 - ieeexplore.ieee.org
Rice is the main food in nearly every tropical and subtropical country on the planet. This
demands the care and ensuring of rice fields spanning several hectares. Farmers face a …