Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Huarui Wu"'
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1600 (2024)
Transporting harvested vegetables in the field or greenhouse is labor-intensive. The utilization of small harvest-aid vehicles can reduce non-productive time for farmers and improve harvest efficiency. This paper models the process of harvesting vege
Externí odkaz:
https://doaj.org/article/7539c12b52f342029bc7aee738cbd705
Publikováno v:
Sensors, Vol 24, Iss 15, p 4998 (2024)
The labor shortage and rising costs in the greenhouse industry have driven the development of automation, with the core of autonomous operations being positioning and navigation technology. However, precise positioning in complex greenhouse environme
Externí odkaz:
https://doaj.org/article/58c6a54116b74bb18afd492f71f5b217
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1125 (2024)
To address the problems of low recognition accuracy and slow processing speed when identifying harvest-stage cabbage heads in complex environments, this study proposes a lightweight harvesting period cabbage head recognition algorithm that improves u
Externí odkaz:
https://doaj.org/article/e51d2d7dbff84a92b8a3661ae2861516
Publikováno v:
Agronomy, Vol 14, Iss 5, p 894 (2024)
The kale crop is an important bulk vegetable, and automatic segmentation to recognize kale is fundamental for effective field management. However, complex backgrounds and texture-rich edge details make fine segmentation of kale difficult. To this end
Externí odkaz:
https://doaj.org/article/9c92cec4eead4c419bddd0215441d193
Publikováno v:
Agronomy, Vol 14, Iss 4, p 760 (2024)
To enhance the transplantation effectiveness of vegetables and promptly formulate subsequent work strategies, it is imperative to study the recognition approach for transplanted seedlings. In the natural and complex environment, factors like backgrou
Externí odkaz:
https://doaj.org/article/f501940e6dca4cde84a4f85993804870
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 1, Pp 48-59 (2022)
Agricultural disease image recognition has an important role to play in the field of intelligent agriculture. Some advanced machine learning methods associated with the development of artificial intelligence technology in recent years, such as deep l
Externí odkaz:
https://doaj.org/article/a9f02dd7f4a24d578ad5909fdba4bb26
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
In view of the differences in appearance and the complex backgrounds of crop diseases, automatic identification of field diseases is an extremely challenging topic in smart agriculture. To address this challenge, a popular approach is to design a Dee
Externí odkaz:
https://doaj.org/article/fceb68a3d41041d8b46bf52c0d204ca5
Publikováno v:
Polymers, Vol 15, Iss 11, p 2520 (2023)
Three-dimensional (3D) printing technology is advantageous in the fast prototyping of complex structures, but its utilization in functional material fabrication is still limited due to a lack of activation capability. To fabricate and activate the fu
Externí odkaz:
https://doaj.org/article/029b0c87a39d4f3ba149d69e277642b6
Publikováno v:
IEEE Access, Vol 8, Pp 160116-160125 (2020)
Dark spots, which are widely present in different species of eggs, not only significantly affect the appearance and reduce the commercial value of eggs, but also increase the safety hazards of edible eggs in view of that Salmonella can easily penetra
Externí odkaz:
https://doaj.org/article/511cc0cb28b2402aa497f4a0b42b9216
Publikováno v:
IEEE Access, Vol 8, Pp 208407-208417 (2020)
Identification of growing points of cotton main stem is the key to realize intelligent and precise machine topping and chemical topping. The identification of growing points by applying the traditional target detection model is subject to a series of
Externí odkaz:
https://doaj.org/article/96406799b34c4953999d3fd65927cfee