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 …

Image processing techniques for diagnosing rice plant disease: a survey

PK Sethy, NK Barpanda, AK Rath, SK Behera - Procedia Computer Science, 2020 - Elsevier
Over the past decades, rice crops are crucially admitted as one of the powerful energy
streams for the production of resources. Rice plant diseases are considered as a raising …

An effective feature extraction method for rice leaf disease classification

MA Azim, MK Islam, MM Rahman… - … Electronics and Control …, 2021 - telkomnika.uad.ac.id
Our society is getting more and more technology dependent day by day. Nevertheless,
agriculture is imperative for our survival. Rice is one of the primary food grains. It provides …

Automatic identification of diseases in grains crops through computational approaches: A review

R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …

Monitoring and controlling rice diseases using Image processing techniques

AA Joshi, BD Jadhav - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Development of an automated system for identifying and classifying different diseases of the
contaminated plants is an emerging research area in precision agriculture. Identification of …

A survey on detection and classification of rice plant diseases

JP Shah, HB Prajapati, VK Dabhi - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Identifying disease from the images of the plant is one of the interesting research areas in
computer and agriculture field. This paper presents a survey of different image processing …

An efficient disease detection technique of rice leaf using AlexNet

MMH Matin, A Khatun, MG Moazzam… - Journal of Computer and …, 2020 - scirp.org
As nearly half of the people in the world live on rice, so the rice leaf disease detection is very
important for our agricultural sector. Many researchers worked on this problem and they …

[PDF][PDF] Early-Stage Brown Spot Disease Recognition in Paddy Using Image Processing and Deep Learning Techniques.

SK Upadhyay, A Kumar - Traitement du Signal, 2021 - researchgate.net
Accepted: 5 December 2021 India is an agricultural country. Paddy is the main crop here on
which the livelihood of millions of people depends. Brown spot disease caused by fungus is …

Plant disease identification: A comparative study

SC Madiwalar, MV Wyawahare - … International Conference on …, 2017 - ieeexplore.ieee.org
Anthracnose and leaf spot (red rust) are the common diseases affecting the mango plant.
Mango being economically important, the detection of these diseases is critical for avoiding …

Plant leaf disease detection using adaptive neuro-fuzzy classification

H Sabrol, S Kumar - Advances in Computer Vision: Proceedings of the …, 2020 - Springer
The paper deals with classification of different types of diseases of tomato and
brinjal/eggplant. The patterns of the diseases are considered as a feature. It may be possible …