Zero shot plant disease classification with semantic attributes

P Kumar, J Mathew, RK Sanodiya, T Setty… - Artificial Intelligence …, 2024 - Springer
In the rapidly evolving field of plant disease detection, the number and complexity of crop
diseases are increasing, made worse by factors like climate change. Addressing these …

Analysis of convolutional neural network-based image classifications: a multi-featured application for rice leaf disease prediction and recommendations for farmers

B Paneru, B Paneru, KB Shah - arxiv preprint arxiv:2410.01827, 2024 - arxiv.org
This study presents a novel method for improving rice disease classification using 8 different
convolutional neural network (CNN) algorithms, which will further the field of precision …

Potato Disease Detection and Recognition Using Deep Learning

R Chauhan, A Prajapati… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Potatoes, being globally recognized as the most popular vegetable, and it is also known as
“Universal vegetable”. But potatoes face significant damage caused by various leaf …

A Real-time Web-based Application for Automated Plant Disease Classification using Deep Learning

P Pandey, R Patra - 2023 IEEE International Symposium on …, 2023 - ieeexplore.ieee.org
Plant disease identification and classification play a pivotal role in improving the agricultural
sector's efficiency and impact. Traditional laboratory testing methods have inherent …

Papaya Leaf Disease Identification using ResNet with Transfer Learning

HKL Madelo, JC Prieto, JRD Bajao… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Papaya (Carica papaya) is an important tropical fruit crop known for its nutritional value and
economic significance. It is widely cultivated in many tropical and subtropical regions due to …

[PDF][PDF] A Novel Two-Stage Deep Learning Framework for Plant Disease Detection

D Abhiram, K Anuradha, V Srilakshmi, K Adilakshmi - researchgate.net
This paper presents a two-stage image classification scheme for detecting plant leaf
diseases using transfer learning techniques. Their timely detection and correct diagnosis are …