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 …

Approximation techniques for apple disease detection and prediction using computer enabled technologies: A review

M Sharma, V Jindal - Remote Sensing Applications: Society and …, 2023 - Elsevier
It has been observed that Nutrition is the main driver of human living beings, hence
agriculture and its crop yield become the major economic growth driver of the country. There …

Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and …

AD Amirruddin, FM Muharam, MH Ismail… - … and Electronics in …, 2022 - Elsevier
The conventional method to quantify leaf biochemical properties (nutrients and chlorophylls)
is tedious, labour-intensive, and impractical for vast oil palm plantation areas. Spectral …

Identification method of corn leaf disease based on improved Mobilenetv3 model

C Bi, S Xu, N Hu, S Zhang, Z Zhu, H Yu - Agronomy, 2023 - mdpi.com
Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …

[Retracted] Multidimensional Attention‐Based CNN Model for Identifying Apple Leaf Disease

K Perveen, S Kumar, S Kansal, M Soni… - Journal of Food …, 2023 - Wiley Online Library
To prevent the spread of illnesses and guarantee the steady and healthy growth of the apple
sector, the proper diagnosis of apple leaf diseases is of utmost importance. The subtle …

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 …

Tackling unbalanced datasets for yellow and brown rust detection in wheat

C Cuenca-Romero, OE Apolo-Apolo… - Frontiers in Plant …, 2024 - frontiersin.org
This study evaluates the efficacy of hyperspectral data for detecting yellow and brown rust in
wheat, employing machine learning models and the SMOTE (Synthetic Minority …

Attention Based Mapping for Plants Leaf to Classify Diseases using Vision Transformer

K Rethik, D Singh - 2023 4th International Conference for …, 2023 - ieeexplore.ieee.org
Agriculture plays a crucial role in meeting the basic food needs of a growing global
population. The growth of grains and vegetables is essential not only for nutrition but also for …

YAPRAK HASTALIKLARININ SINIFLANDIRILABİLMESİ İÇİN ÖNCEDEN EĞİTİLMİŞ AĞ TABANLI DERİN AĞ MODELİ

H Çetiner - Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi, 2021 - dergipark.org.tr
Bitkiye zarar veren hastalıkların erken teşhisi, kimyasal tarım ilaçlarının tüketimini azaltmak,
mali olarak tasarruf etmek ve çevreye verilen kirliliği engelleyebilmek için oldukça önemlidir …

A Review of Leaf Diseases Detection and Classification by Deep Learning

AS Doutoum, B Tugrul - IEEE Access, 2023 - ieeexplore.ieee.org
Leaf's primary function is to produce nutrients through photosynthesis and support the
plant's growth. Leaf diseases caused by bacteria or other pathogens can negatively impact …