Trends and prospect of machine vision technology for stresses and diseases detection in precision agriculture

J Shin, MS Mahmud, TU Rehman, P Ravichandran… - AgriEngineering, 2022 - mdpi.com
Introducing machine vision-based automation to the agricultural sector is essential to meet
the food demand of a rapidly growing population. Furthermore, extensive labor and time are …

[PDF][PDF] Review on emerging trends in detection of plant diseases using image processing with machine learning

P Kartikeyan, G Shrivastava - International Journal of Computer …, 2021 - researchgate.net
In India, about 70% of the population is involved in agriculture and farming. Today plant
diseases are significant concern as it reduces the production and quality of agriculture …

[Retracted] Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection

AS Zamani, L Anand, KP Rane, P Prabhu… - Journal of Food …, 2022 - Wiley Online Library
The aim of this study is to evaluate infected leaf disease images. Precision agriculture's
automatic leaf disease detection system employs image acquisition, image processing …

Study of digital image processing techniques for leaf disease detection and classification

G Dhingra, V Kumar, HD Joshi - Multimedia Tools and Applications, 2018 - Springer
In this paper, we address a comprehensive study on disease recognition and classification
of plant leafs using image processing methods. The traditional manual visual quality …

Detection of rice leaf diseases using image processing

ME Pothen, ML Pai - 2020 fourth international conference on …, 2020 - ieeexplore.ieee.org
Diseases infected on plant leaves particularly in rice leaves are one of the significant issues
faced by the farmers. As a result, it is extremely hard to deliver the quantity of food needed …

Plant leaf disease classification and damage detection system using deep learning models

B Sai Reddy, S Neeraja - Multimedia tools and applications, 2022 - Springer
Agriculture is the primary source of livelihood for about 70% of the rural population in India.
The crop variety cultivated in India is very diverse. There are more than 500 crop varieties …

A perspective view of cotton leaf image classification using machine learning algorithms using WEKA

BM Patil, V Burkpalli - Advances in Human‐Computer …, 2021 - Wiley Online Library
Cotton is one of the major crops in India, where 23% of cotton gets exported to other
countries. The cotton yield depends on crop growth, and it gets affected by diseases. In this …

Classification of diseased cotton leaves and plants using improved deep convolutional neural network

CK Rai, R Pahuja - Multimedia Tools and Applications, 2023 - Springer
The automated detection and classification of plant diseases based on images of leaves is a
significant milestone in agriculture. Due to the increasing popularity of digital image …

[HTML][HTML] Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review

D Caceres-Hernandez, R Gutierrez, K Kung… - Neurocomputing, 2023 - Elsevier
This document provides an overview of advances in the task of automatic feature detection
and classification of fruits, with and special interest in watermelon (Citrillus lanatus). The …

Transfer learning approach for plant leaf disease detection using CNN with pre-trained feature extraction method Mobilnetv2

R Moyazzoma, MAA Hossain… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Economy of Bangladesh mostly depended on agriculture. As a small country, our population
is over the limit. We are also a developing country also. For national GDP growth must be to …