Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges

JA Wani, S Sharma, M Muzamil, S Ahmed… - … methods in Engineering, 2022 - Springer
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …

[HTML][HTML] A comprehensive review on detection of plant disease using machine learning and deep learning approaches

C Jackulin, S Murugavalli - Measurement: Sensors, 2022 - Elsevier
Agriculture plays a significant part in India due to their population growth and increased food
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …

[HTML][HTML] 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 novel framework for image-based plant disease detection using hybrid deep learning approach

A Chug, A Bhatia, AP Singh, D Singh - Soft Computing, 2023 - Springer
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …

A review of deep learning techniques for identification and diagnosis of plant leaf disease

RN Jogekar, N Tiwari - Smart Trends in Computing and Communications …, 2021 - Springer
This paper focuses on review of deep learning techniques on plant leaf disease detection
and its diagnosis. As we know agricultural farming plays a crucial role in world economy but …

A systematic review of different categories of plant disease detection using deep learning-based approaches

Y Kumar, R Singh, MR Moudgil, Kamini - Archives of Computational …, 2023 - Springer
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and helping the world improve …

Performance of deep learning vs machine learning in plant leaf disease detection

R Sujatha, JM Chatterjee, NZ Jhanjhi… - Microprocessors and …, 2021 - Elsevier
Plants are recognized as essential as they are the primary source of humanity's energy
production since they are having nutritious, medicinal, etc. values. At any time between crop …

[HTML][HTML] A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools

A Ahmad, D Saraswat, A El Gamal - Smart Agricultural Technology, 2023 - Elsevier
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …

Deep learning in plant diseases detection for agricultural crops: a survey

M Loey, A ElSawy, M Afify - International Journal of Service Science …, 2020 - igi-global.com
Deep learning has brought a huge improvement in the area of machine learning in general
and most particularly in computer vision. The advancements of deep learning have been …

[HTML][HTML] A novel deep learning method for detection and classification of plant diseases

W Albattah, M Nawaz, A Javed, M Masood… - Complex & Intelligent …, 2022 - Springer
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …