Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review
F Ahmed, MT Ahad, YR Emon - ar** for Plants Leaf to Classify Diseases using Vision Transformer
K Rethik, D Singh - 2023 4th International Conference for …, 2023 - ieeexplore.ieee.org
Agriculture plays a crucial role in meeting the basic food needs of a growing global
population. The growth of grains and vegetables is essential not only for nutrition but also for …
population. The growth of grains and vegetables is essential not only for nutrition but also for …
TinyResViT: A lightweight hybrid deep learning model for on-device corn leaf disease detection
VL Truong-Dang, HT Thai, KH Le - Internet of Things, 2025 - Elsevier
The increasing prevalence of corn leaf diseases poses a significant threat to global food
security, necessitating efficient and accurate detection methods. To address this challenge …
security, necessitating efficient and accurate detection methods. To address this challenge …
[HTML][HTML] Efficient fruit disease diagnosis on resource-constrained agriculture devices
Climate change in recent years has caught the attention of researchers worldwide, with
drastic effects on many economic sectors, especially agriculture and livestock. Due to global …
drastic effects on many economic sectors, especially agriculture and livestock. Due to global …
[HTML][HTML] An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment
Y Cui, Y Yang, Y **a, Y Li, Z Feng, S Liu, G Yuan, C Lv - Plants, 2024 - mdpi.com
This paper presents an efficient weed detection method based on the latent diffusion
transformer, aimed at enhancing the accuracy and applicability of agricultural image …
transformer, aimed at enhancing the accuracy and applicability of agricultural image …
A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer
Recently, scientists have widely utilized Artificial Intelligence (AI) approaches in intelligent
agriculture to increase the productivity of the agriculture sector and overcome a wide range …
agriculture to increase the productivity of the agriculture sector and overcome a wide range …
LEViT-Leaf Disease identification and classification using an enhanced Vision transformers (ViT) model
B Prashanthi, AVP Krishna, CM Rao - Multimedia Tools and Applications, 2024 - Springer
The variety of crops, differences in climate, and the multiplicity of disease symptoms make
early identification and evaluation of leaf diseases a challenging task. Although deep …
early identification and evaluation of leaf diseases a challenging task. Although deep …
A Comprehensive Review on Machine Learning Advancements for Plant Disease Detection and Classification
Plant diseases still exist and spread despite technological advancements in disease
prevention. It is still a major concern for humanity as it affects the economy of agriculture …
prevention. It is still a major concern for humanity as it affects the economy of agriculture …