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[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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
However, plant diseases are one of the leading causes of crop destruction that decreases …