Zobrazeno 1 - 10
of 391
pro vyhledávání: '"intelligent agriculture"'
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 10, Pp 1-14 (2024)
Abstract In recent years, people have paid increasing attention to smart agriculture. Its core technology is to combine information technology such as computer vision with agricultural production. In agricultural production, the occurrence of pests a
Externí odkaz:
https://doaj.org/article/5ef6b3660fac400cb1215e6f27cb70c9
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Color-changing melon is an ornamental and edible fruit. Aiming at the problems of slow detection speed and high deployment cost for Color-changing melon in intelligent agriculture equipment, this study proposes a lightweight detection model
Externí odkaz:
https://doaj.org/article/3d23556738fd417fb1208811d7185c3e
Publikováno v:
Journal of Agricultural Machinery, Vol 14, Iss 2, Pp 135-146 (2024)
IntroductionAbout 30% of the annual losses of agricultural products are caused by pests, diseases, and weeds. Spraying is currently the most common method of their control. At present, various manual and tractor-mounted sprayers are used for spraying
Externí odkaz:
https://doaj.org/article/d19066dcbfa644f8947ac298fcb545e7
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Controlling crop diseases and pests is essential for intelligent agriculture (IA) due to the significant reduction in crop yield and quality caused by these problems. In recent years, the remote sensing (RS) areas has been prevailed over by unmanned
Externí odkaz:
https://doaj.org/article/afc62b0c8f924deda02fa80951ce3dbe
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Apple is a significant economic crop in China, and leaf diseases represent a major challenge to its growth and yield. To enhance the efficiency of disease detection, this paper proposes an Adaptive Cross-layer Integration Method for apple leaf diseas
Externí odkaz:
https://doaj.org/article/625439a5203b4546939077ba0e76224f
Publikováno v:
Journal of Agricultural Sciences, Vol 30, Iss 2, Pp 216-228 (2024)
Due to the high cost of data acquisition in many specific fields, such as intelligent agriculture, the available data is insufficient for the typical deep learning paradigm to show its superior performance. As an important complement to deep learning
Externí odkaz:
https://doaj.org/article/4c5c9dca97b44804a52841a69265e067
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Grapefruit and stem detection play a crucial role in automated grape harvesting. However, the dense arrangement of fruits in vineyards and the similarity in color between grape stems and branches pose challenges, often leading to missed or false dete
Externí odkaz:
https://doaj.org/article/46b0c978ebdc40c7bd9346bf1f6bcfd1
Autor:
Maria Tariq, Usman Ali, Sagheer Abbas, Shahzad Hassan, Rizwan Ali Naqvi, Muhammad Adnan Khan, Daesik Jeong
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
The agricultural sector is pivotal to food security and economic stability worldwide. Corn holds particular significance in the global food industry, especially in developing countries where agriculture is a cornerstone of the economy. However, corn
Externí odkaz:
https://doaj.org/article/32699ac742764a98b1b5ab4957122765
Autor:
Along Gao, Qitao Zhou, Zhikang Cao, Wenxia Xu, Kang Zhou, Boyou Wang, Jing Pan, Caofeng Pan, Fan Xia
Publikováno v:
Advanced Science, Vol 11, Iss 22, Pp n/a-n/a (2024)
Abstract Precise agriculture based on intelligent agriculture plays a significant role in sustainable development. The agricultural Internet of Things (IoTs) is a crucial foundation for intelligent agriculture. However, the development of agricultura
Externí odkaz:
https://doaj.org/article/f91274c148274430ace494dad07b36cd