Turning smartphone camera into a fungal infection detector for chickpea seed germination

A Ahmad, FJ Diaz, L Parra, S Sendra… - 2023 International …, 2023 - ieeexplore.ieee.org
Efficient seed germination is the first and foremost important step in the life cycle of a plant.
Early detection of fungal infection facilitates developing and implementing the appropriate …

A Survey: Machine Learning and Deep Learning in Wheat Disease Detection and Classification

N Sahu, A Bhat - … on Intelligent Computing and Control Systems …, 2023 - ieeexplore.ieee.org
Cereals are a significant and vital source of food for humans. To feed the world's expanding
population, farmers must produce more crops. Plant diseases, however, have an impact on …

[PDF][PDF] Model Agnostic Meta-Learning (MAML)-Based Ensemble Model for Accurate Detection of Wheat Diseases Using Vision Transformer and Graph Neural …

Y Maqsood, SM Usman, M Alhussein… - … , Materials & Continua, 2024 - researchgate.net
Wheat is a critical crop, extensively consumed worldwide, and its production enhancement
is essential to meet escalating demand. The presence of diseases like stem rust, leaf rust …

Explainable AI techniques for Deep Convolutional Neural Network based plant disease identification

S Kiriella, S Fernando, S Sumathipala… - 2023 8th …, 2023 - ieeexplore.ieee.org
Deep learning-based computer vision has shown improved performance in image
classification tasks. Due to the complexities of these models, they have been referred as …

[PDF][PDF] 基于机器学习的不同信源小麦叶部病害单病斑图像识别

梁佳慧, 蒋倩, 王红丽, 王海光 - ACTA …, 2023 - zwblxb.magtech.com.cn
小麦条锈病, 叶锈病和白粉病是小麦叶部重要病害ꎬ 严重影响小麦的产量和品质ꎬ
其及时识别和诊断对于病害管理具有重要意义ꎮ 现在植物病害图像获取更加便捷ꎬ …

A Survey-Wheat Plant Diseases Recognition System using Deep Learning Techniques

T Goyal, AR Patil, P Nahar… - … Conference on Innovative …, 2023 - ieeexplore.ieee.org
Even in cases of high population growth, agriculture nevertheless provides food for all
people. To ensure the supply of food for the entire population, it is advised to anticipate …

Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease

A Sharma, D Kumar, V Kukreja - 2023 14th International …, 2023 - ieeexplore.ieee.org
Wheat eye spot disease threatens global agricultural productivity and food security. This
study offers deep learning (DL) hybrid convolutional neural network (CNN) and recurrent …

Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition

D Kumar, V Kukreja, P Sarangi - 2023 14th International …, 2023 - ieeexplore.ieee.org
To ensure consistent and dependable wheat production and food security, effective
monitoring of leaf rust is essential which will increase the wheat grain yield quality. The …

ViT vs CNN: A Comparative Study of Wheat Disease Classification for Custom Data

SZU Abidin, HM Lashari… - … Conference on Frontiers …, 2023 - ieeexplore.ieee.org
Wheat plays an important role in Pakistan's agricultural sector, ensuring food security and
livelihoods for many. However, the persistent danger of wheat diseases needs immediate …

Progress in Research on Prevention and Control of Crop Fungal Diseases in the Context of Climate Change

J Zhou, X Zhang, Z Qu, C Zhang, F Wang, T Gao, Y Yao… - Agriculture, 2024 - mdpi.com
With an advancement in global climate change, the frequency of extreme climatic events,
such as high temperature, drought, and flooding, has increased. Meanwhile, outbreaks of …