Advances in sensing plant diseases by imaging and machine learning methods for precision crop protection

S Chadha, M Sharma, A Sayyed - Microbial management of plant stresses, 2021 - Elsevier
Plant diseases are one of the primary causes of major economic losses in the agriculture
industry worldwide. The continuous monitoring of plant health and early detection of …

Plant Disease Detection with the Help of Advanced Imaging Sensors

S Singh, R Bajpai, MM Rashid, B Teli… - … Intelligence and Smart …, 2022 - taylorfrancis.com
Agriculture has a key impact on every economy in the world. Estimated crop production
varies across the globe due to a variety of factors, which include excessive consumption of …

[HTML][HTML] Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants

JD Omaye, E Ogbuju, G Ataguba, O Jaiyeoba… - Artificial Intelligence in …, 2024 - Elsevier
Plant disease detection has played a significant role in combating plant diseases that pose a
threat to global agriculture and food security. Detecting these diseases early can help …

Computer Vision for Plant Disease Recognition: A Comprehensive Review

M Dang, H Wang, Y Li, TH Nguyen, L Tightiz… - The Botanical …, 2024 - Springer
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

[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 …

[HTML][HTML] 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 …

[PDF][PDF] Application of machine learning: a recent advancement in plant diseases detection

S Das, S Pattanayak, PR Behera - Journal of Plant Protection …, 2022 - journals.pan.pl
The world population, and thus the need for food, is increasing every day. This leads to the
ultimate question of how to increase food production with limited time and scarce land …

Deep Learning in Plant Stress Phenomics Studies-A Review

S Patil, S Kolhar, J Jagtap - International Journal of Computing …, 2024 - journal.uob.edu.bh
Efficient crop management and treatment rely on early detection of plant stress. Imaging
sensors provide a non-destructive and commonly used method for detecting stress in large …

[HTML][HTML] Feature engineering to identify plant diseases using image processing and artificial intelligence: a comprehensive review

SM Javidan, A Banakar, K Rahnama… - Smart Agricultural …, 2024 - Elsevier
Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …

Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches

SAA Qadri, NF Huang, TM Wani… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …