Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Heguang Sun"'
Autor:
Heguang Sun, Lin Zhou, Meiyan Shu, Jie Zhang, Ziheng Feng, Haikuan Feng, Xiaoyu Song, Jibo Yue, Wei Guo
Publikováno v:
Agriculture, Vol 14, Iss 3, p 476 (2024)
Southern blight significantly impacts peanut yield, and its severity is exacerbated by high-temperature and high-humidity conditions. The mycelium attached to the plant’s interior quickly proliferates, contributing to the challenges of early detect
Externí odkaz:
https://doaj.org/article/ee3fce8372a8405ca37ac4721b8a6caf
Autor:
Yuanyuan Ma, Chunxia Qiu, Jie Zhang, Di Pan, Chunkai Zheng, Heguang Sun, Haikuan Feng, Xiaoyu Song
Publikováno v:
Agronomy, Vol 13, Iss 12, p 3071 (2023)
Leaf chlorophyll content (LCC) significantly correlates with crop growth conditions, nitrogen content, yield, etc. It is a crucial indicator for elucidating the senescence process of plants and can reflect their growth and nutrition status. This stud
Externí odkaz:
https://doaj.org/article/d0490003c23d4c698803240f81859a21
Publikováno v:
Agriculture, Vol 13, Iss 8, p 1504 (2023)
Peanut southern blight has a severe impact on peanut production and is one of the most devastating soil-borne fungal diseases. We conducted a hyperspectral analysis of the spectral responses of plants to peanut southern blight to provide theoretical
Externí odkaz:
https://doaj.org/article/5a207649af1a41afb769fbcc82e7ed35
Publikováno v:
Agriculture, Vol 13, Iss 2, p 293 (2023)
Crop disease identification and monitoring is an important research topic in smart agriculture. In particular, it is a prerequisite for disease detection and the mapping of infected areas. Wheat fusarium head blight (FHB) is a serious threat to the q
Externí odkaz:
https://doaj.org/article/97da017c9a6940008122daa4356efa5e
Publikováno v:
Agronomy, Vol 12, Iss 8, p 1876 (2022)
The recognition accuracy of traditional image recognition methods is heavily dependent on the design of complicated and tedious hand-crafted features. In view of the problems of poor accuracy and complicated feature extraction, this study presents a
Externí odkaz:
https://doaj.org/article/a14b4fa844f04bd79827ba7aee1fc1c4