Plant disease detection using computational intelligence and image processing

VK Vishnoi, K Kumar, B Kumar - Journal of Plant Diseases and Protection, 2021 - Springer
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

An automated detection and classification of citrus plant diseases using image processing techniques: A review

Z Iqbal, MA Khan, M Sharif, JH Shah… - … and electronics in …, 2018 - Elsevier
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

M Sharif, MA Khan, Z Iqbal, MF Azam, MIU Lali… - … and electronics in …, 2018 - Elsevier
In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …

Citrus disease detection and classification using end-to-end anchor-based deep learning model

SF Syed-Ab-Rahman, MH Hesamian, M Prasad - Applied Intelligence, 2022 - Springer
Plant diseases are the primary issue that reduces agricultural yield and production, causing
significant economic losses and instability in the food supply. In plants, citrus is a fruit crop of …

A review on the main challenges in automatic plant disease identification based on visible range images

JGA Barbedo - Biosystems engineering, 2016 - Elsevier
Highlights•The challenges involved in the automatic identification of plant diseases are
characterised.•The impact of those challenges on current proposals is discussed.•Possible …

An in-field automatic wheat disease diagnosis system

J Lu, J Hu, G Zhao, F Mei, C Zhang - Computers and electronics in …, 2017 - Elsevier
Crop diseases are responsible for the major production reduction and economic losses in
agricultural industry worldwide. Monitoring for health status of crops is critical to control the …

Plants disease identification and classification through leaf images: A survey

S Kaur, S Pandey, S Goel - Archives of Computational Methods in …, 2019 - Springer
The symptoms of plant diseases are evident in different parts of a plant; however leaves are
found to be the most commonly observed part for detecting an infection. Researchers have …

[HTML][HTML] Digital image processing techniques for detecting, quantifying and classifying plant diseases

JG Arnal Barbedo - SpringerPlus, 2013 - Springer
This paper presents a survey on methods that use digital image processing techniques to
detect, quantify and classify plant diseases from digital images in the visible spectrum …

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 …

Citrus pests classification using an ensemble of deep learning models

M Khanramaki, EA Asli-Ardeh, E Kozegar - Computers and Electronics in …, 2021 - Elsevier
Early diagnosis of plant pests is essential for reducing the consumption of agricultural
pesticides as well as saving costs and reducing environmental pollutions. In this paper, an …