[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 …

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 …

Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

[HTML][HTML] Deep learning-based leaf disease detection in crops using images for agricultural applications

J Eunice, DE Popescu, MK Chowdary, J Hemanth - Agronomy, 2022 - mdpi.com
The agricultural sector plays a key role in supplying quality food and makes the greatest
contribution to growing economies and populations. Plant disease may cause significant …

[HTML][HTML] Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning

SM Javidan, A Banakar, KA Vakilian… - Smart agricultural …, 2023 - Elsevier
Plant diseases often reduce crop yield and product quality; therefore, plant disease
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …

An optimal hybrid multiclass SVM for plant leaf disease detection using spatial Fuzzy C-Means model

SK Sahu, M Pandey - Expert systems with applications, 2023 - Elsevier
In recent times, plant disease detection and diagnosing measures become a major concern
in the agriculture field. Earlier identification of plant disease aids the farmers to take …

[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application

MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

On using artificial intelligence and the internet of things for crop disease detection: A contemporary survey

H Orchi, M Sadik, M Khaldoun - Agriculture, 2022 - mdpi.com
The agricultural sector remains a key contributor to the Moroccan economy, representing
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …

An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique

P Kaur, S Harnal, V Gautam, MP Singh… - … Applications of Artificial …, 2022 - Elsevier
Tomato leaf infections are a common threat to long-term tomato production that affects many
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …

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 …