Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Chai Xiujuan"'
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 53-63 (2024)
ObjectiveCurrently, pig farming facilities mainly rely on manual counting for tracking slaughtered and stored pigs. This is not only time-consuming and labor-intensive, but also prone to counting errors due to pig movement and potential cheating. As
Externí odkaz:
https://doaj.org/article/9e8da6fad96f487d9c6b248efc040d46
Publikováno v:
智慧农业, Vol 5, Iss 2, Pp 1-12 (2023)
ObjectiveThe fruit load estimation of fruit tree is essential for horticulture management. Traditional estimation method by manual sampling is not only labor-intensive and time-consuming but also prone to errors. Most existing models can not apply to
Externí odkaz:
https://doaj.org/article/c2597cf513eb4d9f91f02cfd439cfcc3
Publikováno v:
智慧农业, Vol 4, Iss 1, Pp 29-46 (2022)
Accurate detection and recognition of plant diseases is the key technology to early diagnosis and intelligent monitoring of plant diseases, and is the core of accurate control and information management of plant diseases and insect pests. Deep learni
Externí odkaz:
https://doaj.org/article/5a96d100caa844c2a7fb36b59198a2d8
Modeling biological sequences such as DNA, RNA, and proteins is crucial for understanding complex processes like gene regulation and protein synthesis. However, most current models either focus on a single type or treat multiple types of data separat
Externí odkaz:
http://arxiv.org/abs/2410.11499
Publikováno v:
智慧农业, Vol 2, Iss 1, Pp 99-110 (2020)
Intelligent production and robotic oporation are the efficient and sustainable agronomic route to cut down economic and environmental costs and boosting orchard productivity. In the actual scene of the orchard, high performance visual perception syst
Externí odkaz:
https://doaj.org/article/edb77c608f1d4d1f874eb1ac17bebaae
Publikováno v:
In Computers and Electronics in Agriculture October 2024 225
Autor:
Zhong, Ming a, 1, Han, Ruiqing a, 1, Liu, Yan a, Huang, Bo a, Chai, Xiujuan b, ⁎, Liu, Yaxin a, ⁎
Publikováno v:
In Computers and Electronics in Agriculture May 2024 220
Vision-based Continuous Sign Language Recognition (CSLR) aims to recognize unsegmented signs from image streams. Overfitting is one of the most critical problems in CSLR training, and previous works show that the iterative training scheme can partial
Externí odkaz:
http://arxiv.org/abs/2104.02330
Akademický článek
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Autor:
Zhou, Shuo a, 1, Zhong, Ming c, 1, Chai, Xiujuan a, d, ⁎, Zhang, Ning a, b, Zhang, Yubin a, d, Sun, Qixin a, d, Sun, Tan b, ⁎⁎
Publikováno v:
In Computers and Electronics in Agriculture January 2024 216