[HTML][HTML] Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review
HN Ngugi, AA Akinyelu, AE Ezugwu - Agronomy, 2024 - mdpi.com
Crop diseases pose a significant threat to global food security, with both economic and
environmental consequences. Early and accurate detection is essential for timely …
environmental consequences. Early and accurate detection is essential for timely …
[HTML][HTML] Tomato leaf disease detection and management using VARMAx-CNN-GAN integration
V Cheemaladinne, S Reddy - Journal of King Saud University-Science, 2024 - Elsevier
In contemporary agriculture, farmers confront substantial challenges in maintaining crop
yields and mitigating agricultural losses attributable to diseases. The existing methods for …
yields and mitigating agricultural losses attributable to diseases. The existing methods for …
Classification and Validation of Tomato Leaf Disease Using Deep Learning Techniques
S Amutha, D Nandhini - International …, 2024 - submissions.adroidjournals.com
Tomatoes are regarded as fruits since they fit the botanical definition of a fruit because they
are the fleshy parts of a plant that enclose its seeds. There are approximately 10 different …
are the fleshy parts of a plant that enclose its seeds. There are approximately 10 different …
[PDF][PDF] Advance Plant Disease Detection Using VGGNet With Convolutional Neural Network
M Abuzar - 2024 - ssgmce.ac.in
Our project introduces an innovative approach to detecting plant diseases, employing the
VGGNet architecture with a specific emphasis on the VGG16 model. By utilizing pre-existing …
VGGNet architecture with a specific emphasis on the VGG16 model. By utilizing pre-existing …