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pro vyhledávání: '"Sunil, G C"'
Autor:
Sunil G C, Arjun Upadhyay, Yu Zhang, Kirk Howatt, Thomas Peters, Michael Ostlie, William Aderholdt, Xin Sun
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100538- (2024)
The implementation of a machine-vision system for real-time precision weed management is a crucial step towards the development of smart spraying robotic vehicles. The intelligent machine-vision system, constructed using deep learning object detectio
Externí odkaz:
https://doaj.org/article/b70ce404338447d3bf1d345240771f06
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101331- (2024)
Traditional weed management often involves blanket herbicide spraying, resulting in substantial herbicide wastage, environmental concerns, and herbicide resistant issues. Smart spraying systems utilizing robotics and sensors technologies can minimize
Externí odkaz:
https://doaj.org/article/4ef11f36bbdd4cd9b4129b456c7e0f22
Publikováno v:
In Smart Agricultural Technology December 2024 9
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 242-256 (2022)
Weed identification is fundamental toward developing a deep learning-based weed control system. Deep learning algorithms assist to build a weed detection model by using weed and crop images. The dynamic environmental conditions such as ambient lighti
Externí odkaz:
https://doaj.org/article/b951a164ede14f33a6936b8c1f6cbc1e
Publikováno v:
Journal of Agriculture and Food Research, Vol 9, Iss , Pp 100325- (2022)
Site-specific weed management in Precision Agriculture is becoming a popular topic among researchers and farmers. The objective of this study was to classify weeds and crop species using RGB image texture features with the comparison of the Support V
Externí odkaz:
https://doaj.org/article/ab52b1caebbb45d1a5915dd3a5331bbf