Zobrazeno 1 - 10
of 1 197
pro vyhledávání: '"Wheat leaf"'
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2001-2022 (2024)
Improving agricultural productivity is essential due to rapid population growth, making early detection of crop diseases crucial. Although deep learning shows promise in smart agriculture, practical applications for identifying wheat diseases in comp
Externí odkaz:
https://doaj.org/article/63d94ff431064589ba9850d79b9cbc86
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local
Externí odkaz:
https://doaj.org/article/680f4c57dc9c4d99bf823c9b26fd553d
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Wheat (Triticum spp.) is one of the most important cereal crops in the world. Several diseases affect wheat production and can cause 20-80% yield loss annually. Out of these diseases, stripe rust, also known as yellow rust (Puccinia striiformis f. sp
Externí odkaz:
https://doaj.org/article/1163db59e3b84aaeb0a1064e6abffc5d
Autor:
Md. Fahim-Ul-Islam, Amitabha Chakrabarty, Sarder Tanvir Ahmed, Rafeed Rahman, Hyun Han Kwon, Md. Jalil Piran
Publikováno v:
IEEE Access, Vol 12, Pp 109128-109156 (2024)
Wheat is one of the most extensively cultivated crops worldwide that contributes significantly to global food caloric and protein production and is grown on millions of hectares yearly. However, diseases like brown rust, septoria, yellow rust, and ot
Externí odkaz:
https://doaj.org/article/5f1dcc7d457945bf8b55fa68d61c2b56
Autor:
Syed Taha Yeasin Ramadan, Tanjim Sakib, Fahmid Al Farid, Md. Shofiqul Islam, Junaidi Bin Abdullah, Md Roman Bhuiyan, Sarina Mansor, Hezerul Bin Abdul Karim
Publikováno v:
IEEE Access, Vol 12, Pp 69853-69874 (2024)
Global food security is seriously threatened by wheat leaf disease, which makes effective and precise disease detection and classification techniques necessary. For efficient disease control and the best possible crop health, timely identification an
Externí odkaz:
https://doaj.org/article/b34afde1535f469bb9f2b2c22df085dc
Autor:
YANG Feng, YAO Xiaotong
Publikováno v:
智慧农业, Vol 6, Iss 1, Pp 147-157 (2024)
ObjectiveTo effectively tackle the unique attributes of wheat leaf pests and diseases in their native environment, a high-caliber and efficient pest detection model named YOLOv8-SS (You Only Look Once Version 8-SS) was proposed. This innovative model
Externí odkaz:
https://doaj.org/article/39da30caf73d4e4eba4d42f5b09e185f
Publikováno v:
Plants, Vol 13, Iss 20, p 2835 (2024)
Stripe rust caused by Puccinia striiformis f. sp. tritici and leaf rust caused by Puccinia triticina, are two devastating diseases on wheat, which seriously affect the production safety of wheat. Timely detection and identification of the two disease
Externí odkaz:
https://doaj.org/article/3828f73c2ae3454f8931307e971a5566
Autor:
Olga V. Doroshenko, Mikhail V. Golub, Oksana Yu. Kremneva, Pavel S. Shcherban’, Andrey S. Peklich, Roman Yu. Danilov, Ksenia E. Gasiyan, Artem V. Ponomarev, Ilya N. Lagutin, Ilya A. Moroz, Victor K. Postovoy
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1945 (2024)
An advanced approach to the automated assessment of a microscopic slide containing spores is presented. The objective is to develop an intelligent system for the rapid and precise estimation of phytopathogenic spore concentration on microscopic slide
Externí odkaz:
https://doaj.org/article/182fe671349043bc974c45e9f5b5c52d
Autor:
Jie Zhao, Zhensheng Kang
Publikováno v:
Phytopathology Research, Vol 5, Iss 1, Pp 1-30 (2023)
Abstract Wheat rusts, including stripe, leaf, and stem rusts, are severe wheat diseases and cause huge yield loss in China annually. Benefiting from utilizing the genetic resistance wheat varieties, wheat stem rust has been effectively controlled sin
Externí odkaz:
https://doaj.org/article/6e1455093eef4596a78a278f3f75d062
Autor:
Chengxin Ju, Chen Chen, Rui Li, Yuanyuan Zhao, Xiaochun Zhong, Ruilin Sun, Tao Liu, Chengming Sun
Publikováno v:
Food and Energy Security, Vol 12, Iss 4, Pp n/a-n/a (2023)
Abstract Wheat (Triticum aestivum L.) leaf rust is the most common and widely distributed wheat disease. Non‐destructive and real‐time methods for monitoring wheat leaf rust can help prevent and control plant diseases in agricultural production.
Externí odkaz:
https://doaj.org/article/c7431fad1e2848c6bf50637e28a54ed0