[HTML][HTML] Exploration of machine learning approaches for automated crop disease detection
In the era of frequently changing climatic conditions along with ever increasing world
population, it becomes imperative to ensure food security. The burden of biotic stresses …
population, it becomes imperative to ensure food security. The burden of biotic stresses …
Digital image noise removal towards soybean and cotton plant disease using image processing filters
VG Bhujade, V Sambhe, B Banerjee - Expert Systems with Applications, 2024 - Elsevier
The processing of noisy images does not provide accurate outcomes. In most existing
techniques, many filters have been employed to eradicate the noises and enhance the …
techniques, many filters have been employed to eradicate the noises and enhance the …
Deep learning-based classification of wheat leaf diseases for edge devices
AA Khan, S Raza, MF Qureshi… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
This paper proposes a deep learning-based approach for classifying wheat leaf diseases
such as stripe rust and septoria for edge devices. The study used a 407 wheat leaf images …
such as stripe rust and septoria for edge devices. The study used a 407 wheat leaf images …
[PDF][PDF] Fusion of Region Extraction and Cross-Entropy SVM Models for Wheat Rust Diseases Classification
Wheat rust diseases are one of the major types of fungal diseases that cause substantial
yield quality losses of 15%–20% every year. The wheat rust diseases are identified either …
yield quality losses of 15%–20% every year. The wheat rust diseases are identified either …
Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique
The biggest contribution to the Indian economy is made through agriculture. It is one of the
main sources of income for farmers. The major concern for the farmers during cultivation is to …
main sources of income for farmers. The major concern for the farmers during cultivation is to …
Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease
A Sharma, D Kumar, V Kukreja - 2023 14th International …, 2023 - ieeexplore.ieee.org
Wheat eye spot disease threatens global agricultural productivity and food security. This
study offers deep learning (DL) hybrid convolutional neural network (CNN) and recurrent …
study offers deep learning (DL) hybrid convolutional neural network (CNN) and recurrent …
Customer Churn Prediction in Telecommunication and Banking using Machine Learning: A Systematic Literature Review
HA Altairey, AI Al-Alawi - 2024 ASU International Conference in …, 2024 - ieeexplore.ieee.org
This study aims to conduct a thorough systematic literature review on customer churn
prediction in the telecommunication and banking industries, specifically focusing on data …
prediction in the telecommunication and banking industries, specifically focusing on data …