Turning smartphone camera into a fungal infection detector for chickpea seed germination
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 …
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 …
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 …
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 …
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 …
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 …
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 …
study offers deep learning (DL) hybrid convolutional neural network (CNN) and recurrent …
Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition
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 …
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 …
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 …
such as high temperature, drought, and flooding, has increased. Meanwhile, outbreaks of …