[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application

MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

“Tomato-Village”: a dataset for end-to-end tomato disease detection in a real-world environment

M Gehlot, RK Saxena, GC Gandhi - Multimedia Systems, 2023 - Springer
Tomato is one of the most extensively grown vegetables in any country, and their diseases
can significantly affect yield and quality. Accurate and early detection of tomato diseases is …

“EffiNet-TS”: A deep interpretable architecture using EfficientNet for plant disease detection and visualization

M Gehlot, GC Gandhi - Journal of Plant Diseases and Protection, 2023 - Springer
Agriculture is crucial to the economy of any nation since it provides food and jobs for a
sizable percentage of the populace. However, plant diseases are one of the biggest …

A novel approach for plant leaf disease predictions using recurrent neural network RNN classification method

V Sivalingam, R Elarabi, J Bhargavi… - … in Applied Sciences …, 2023 - semarakilmu.com.my
Agriculture is an essential part of our country and is only necessary for its development. The
problem here is leaf spot disease, which significantly affects the growth of food production …

Deep learning-based classification of visual symptoms of bacterial wilt disease caused by Ralstonia solanacearum in tomato plants

JP Vásconez, IN Vásconez, V Moya… - … and Electronics in …, 2024 - Elsevier
Classification of plant diseases based on computer vision is a multidisciplinary challenge
that involves technical and data-related complexities. Artificial Intelligence (AI) has …

[PDF][PDF] Advanced Deep Learning Techniques for Image Classification of Plant Leaf Disease

H Sinha - J. Emerg. Technol. Innov. Res. www. jetir. org, 2024 - researchgate.net
Plant diseases affect the quantity and quality of agricultural products, which ultimately lowers
farmers' profits. Plant disease early identification is essential to raising agricultural output …

Residual network-based feature extraction for automatic crop disease detection system using drone image dataset

S Dua, S Kumar, R Garg, L Dewan - International Journal of …, 2024 - emerald.com
Purpose Diagnosing the crop diseases by farmers accurately with the naked eye can be
challenging. Timely identification and treating these diseases is crucial to prevent complete …

Development of Powered Chatbots for Natural Language Interaction in Metaverse using Deep Learning with Optimization Techniques

R Rajesh, N Chinthamu, S Rani… - 2023 Second …, 2023 - ieeexplore.ieee.org
Modern natural language processing systems are required to provide smooth
communication between users and the virtual environment as a result of the rise of the …

A Cutting Edge Deep Learning Models for Paddy Leaf Disease Detection and Classification

A Dhanalakshmi, K Ponmozhi… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The world's main grain crop is rice (Oryza sativa). It provides the majority of the world's
population with nourishment and energy. Numerous rice leaf diseases are a major threat to …

Fuzzy Deep Learning Recurrent Neural Network Algorithm to Detect Corn Leaf Disease

SY Irianto, E Findley - International Journal of Computational …, 2024 - World Scientific
Corn is a major commodity after rice in supporting food self-sufficiency in Indonesia.
However, due to leaf disease, the quality and quantity of corn plants are greatly reduced …