Deep transfer learning model for disease identification in wheat crop

S Nigam, R Jain, S Marwaha, A Arora, MA Haque… - Ecological …, 2023 - Elsevier
Wheat rusts, caused by pathogenic fungi, are responsible for significant losses in Wheat
production. Leaf rust can cause around 45–50% crop loss, whereas stem and stripe rust can …

Two-stage convolutional neural networks for diagnosing the severity of alternaria leaf blotch disease of the apple tree

BY Liu, KJ Fan, WH Su, Y Peng - Remote Sensing, 2022 - mdpi.com
In many parts of the world, apple trees suffer from severe foliar damage each year due to
infection of Alternaria blotch (Alternaria alternata f. sp. Mali), resulting in serious economic …

Detection of wheat yellow rust disease severity based on improved GhostNetV2

Z Li, X Fang, T Zhen, Y Zhu - Applied Sciences, 2023 - mdpi.com
Wheat production safety is facing serious challenges because wheat yellow rust is a
worldwide disease. Wheat yellow rust may have no obvious external manifestations in the …

A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maize

MA Haque, S Marwaha, A Arora, CK Deb… - Frontiers in Plant …, 2022 - frontiersin.org
Maydis leaf blight (MLB) of maize (Zea Mays L.), a serious fungal disease, is capable of
causing up to 70% damage to the crop under severe conditions. Severity of diseases is …

sGenotypes, Epidemiological Variables and Fungicides Application Associated With Wheat Leaf Rust Development and Grain Yield

HM Aatif, S Saeed, Y Ali, S Iqbal… - Heliyon, 2024 - cell.com
The present study was carried out at the Plant Pathology Hafizabad Research Station, the
University of Layyah, during the crop seasons 2021–2022 and 2022–2023 to evaluate the …

TomSevNet: a hybrid CNN model for accurate tomato disease identification with severity level assessment

U Shruthi, V Nagaveni - Neural Computing and Applications, 2024 - Springer
Tomato diseases are a major challenge for tomato growers, leading to significant yield
losses and reduced quality of produce. Manual diagnosis of tomato diseases can be time …

Cnn ensembles for pear leaf disease severity estimation

MR Lakehal, H Nemmour, ML Bouibed… - 2023 30th IEEE …, 2023 - ieeexplore.ieee.org
Plant disease severity estimation is a new challenging research issue in the precision
agriculture which helps to make an effective disease management. Similarly to plant leaf …

EfficientNet architecture and attention mechanism-based wheat disease identification model

S Nigam, R Jain, VK Singh, S Marwaha, A Arora… - Procedia Computer …, 2024 - Elsevier
The image-based automatic plant disease identification has emerged as a prominent
research area, driven by recent advancements in machine learning algorithms …

A Hybrid Deep Learning Approach for Severity Classification of Pepper Leaf Mosaic Virus

A Kaur, V Kukreja, L Gopal, G Verma… - … on Advances in …, 2024 - ieeexplore.ieee.org
The efficient administration of agricultural operations and the maximization of crop output
both depend critically on an accurate assessment of the severity of plant diseases. This …

Review of Wheat Disease Classification and Severity Detection Models

H Zang, AA Joseph, S Zhang, R Liu… - Applications of Modelling …, 2023 - arqiipubl.com
Wheat is an important cereal crop that feeds more than a third of the world's population. The
yield of wheat depends on various factors. Among them, disease is an important factor …