A systematic literature review on plant disease detection: Motivations, classification techniques, datasets, challenges, and future trends

W Shafik, A Tufail, A Namoun, LC De Silva… - Ieee …, 2023 - ieeexplore.ieee.org
Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …

Plant disease detection and classification: A systematic literature review

Ramanjot, U Mittal, A Wadhawan, J Singla, NZ Jhanjhi… - Sensors, 2023 - mdpi.com
A significant majority of the population in India makes their living through agriculture.
Different illnesses that develop due to changing weather patterns and are caused by …

Trends in vision-based machine learning techniques for plant disease identification: A systematic review

PS Thakur, P Khanna, T Sheorey, A Ojha - Expert Systems with …, 2022 - Elsevier
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

[Retracted] A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review

R Kumar, A Chug, AP Singh, D Singh - Journal of Sensors, 2022 - Wiley Online Library
Crops' production and quality of yields are heavily affected by crop diseases which cause
adverse impacts on food security as well as economic losses. In India, agriculture is a prime …

Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations

A Jafar, N Bibi, RA Naqvi, A Sadeghi-Niaraki… - Frontiers in Plant …, 2024 - frontiersin.org
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …

A systematic review of recent machine learning techniques for plant disease identification and classification

L Goel, J Nagpal - IETE Technical Review, 2023 - Taylor & Francis
Plant disease management in agriculture science is the primary concern for every country,
as the food demand is increasing fast due to an increase in population. Furthermore …

An advanced deep learning models-based plant disease detection: A review of recent research

M Shoaib, B Shah, S Ei-Sappagh, A Ali… - Frontiers in Plant …, 2023 - frontiersin.org
Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …

A review on machine learning and deep learning image-based plant disease classification for industrial farming systems

P Sajitha, AD Andrushia, N Anand, MZ Naser - Journal of Industrial …, 2024 - Elsevier
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …

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 …

Convolutional neural networks in detection of plant leaf diseases: A review

B Tugrul, E Elfatimi, R Eryigit - Agriculture, 2022 - mdpi.com
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …