Severity Calculation of Tar Disease in Sorghum Using Deep Learning
S Varur, T Maidur, CK Sharad… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Sorghum, a crucial cereal crop, is confronted with challenges from diseases such as Tar
spot, Anthracnose and Rust impacting production. In response to the scarcity of relevant …
spot, Anthracnose and Rust impacting production. In response to the scarcity of relevant …
A Study on the Potency of Hybrid Models: Detecting Diseases in Cucumber Leaves with Pre-trained CNNs and SVM
T Yodrot, C Sutacha, T Orachon… - 2024 12th …, 2024 - ieeexplore.ieee.org
This study investigates a hybrid machine learning approach for the classification of
cucumber leaf diseases, combining the strengths of pre-trained Convolutional Neural …
cucumber leaf diseases, combining the strengths of pre-trained Convolutional Neural …
Harnessing Machine Learning for Accurate Corn Leaf Disease Classification
LN Pavithra, H Reddy… - 2024 1st International …, 2024 - ieeexplore.ieee.org
Corn, a vital global agricultural commodity, confronts significant threats from diseases that
adversely impact yield and quality. Ensuring its stable and sustainable production is …
adversely impact yield and quality. Ensuring its stable and sustainable production is …
Novel Plant Leaf Disease Detection Approach using Hybrid Deep Learning Strategy
J Vamshi, S Tanwar, JG Thatipudi… - … and Virtual Mobile …, 2024 - ieeexplore.ieee.org
The early detection and identification of plant diseases are pivotal for precision agriculture,
aiming to mitigate crop losses and optimize yields. This study presents a novel approach to …
aiming to mitigate crop losses and optimize yields. This study presents a novel approach to …