Comparative evaluation of the convolutional neural network based transfer learning models for classification of plant disease

N Pajjuri, U Kumar, R Thottolil - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The wide scale prevalence of diseases in agricultural crops affects both the production
quality and quantity of agricultural products at local to regional scale. More often than not …

Disease Detection in Crop's using Transfer Learning: An analysis on Detection through Computer

A Bishnoi, S Bharadwaj, S Dalal - … International Conference on …, 2023 - ieeexplore.ieee.org
Current Era is of interdisciplinary techniques where technological growth in one sector helps
to resolve the problem's faced in other sectors. Here we discuss the diseases that occur in …

[PDF][PDF] A novel machine learning method for identifying plant disease to increase yield

VG Vani, MS Ashraf, A Kumar, S Padhy… - International Journal of …, 2022 - academia.edu
Agricultural production is improving as a result of recent technological and scientific
advances. In agriculture, identifying plant leaf diseases and improving plant leaf quality are …

Soft Computing Approaches for Medical Diagnosis and Prognosis of Heart Disease with Feature Analysis

S Ravichandran, M Pradeepa… - 2023 Second …, 2023 - ieeexplore.ieee.org
In the field of medical diagnosis and prognosis, particularly for heart disease, deep learning
techniques, specifically those utilizing convolutional neural networks (CNNs), have shown …

Early Cotton Plant Disease Detection using Drone Monitoring and Deep Learning

S Jayanthy, G Kiruthika, G Lakshana… - … for Women in …, 2024 - ieeexplore.ieee.org
India is the largest contributor of cotton production in the world but at recent times the cotton
production has been decreased significantly due to various cotton plant diseases. The …