Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Zongmei Gao"'
Autor:
Hongxing Peng, Huiming Xu, Zongmei Gao, Zhiyan Zhou, Xingguo Tian, Qianting Deng, Huijun He, Chunlong Xian
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionCrop pests have a great impact on the quality and yield of crops. The use of deep learning for the identification of crop pests is important for crop precise management.MethodsTo address the lack of data set and poor classification accura
Externí odkaz:
https://doaj.org/article/ad26be7a2973414ab7d6ab8a0ebd4a93
Publikováno v:
AgriEngineering, Vol 4, Iss 1, Pp 231-254 (2022)
UAV may be limited by its flight height and camera resolution when aerial photography of a tea garden is carried out. The images of the tea garden contain trees and weeds whose vegetation information is similar to tea tree, which will affect tea tree
Externí odkaz:
https://doaj.org/article/d45563c1969f47a8bf69ad86e8b14992
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1537 (2023)
The segmentation and positioning of tea buds are the basis for intelligent picking robots to pick tea buds accurately. Tea images were collected in a complex environment, and median filtering was carried out to obtain tea bud images with smooth edges
Externí odkaz:
https://doaj.org/article/f90fbdcc420e44dabd43eccc6a83ddd6
Publikováno v:
AgriEngineering, Vol 2, Iss 3, Pp 430-446 (2020)
Plant stress is one of major issues that cause significant economic loss for growers. The labor-intensive conventional methods for identifying the stressed plants constrain their applications. To address this issue, rapid methods are in urgent needs.
Externí odkaz:
https://doaj.org/article/451a784a471a41e2905d9a5041779509
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss , Pp 31-38 (2020)
Strawberry is one of the popular fruits with numerous nutrients. The ripeness of this fruits was estimated using the hyperspectral imaging (HSI) system in field and laboratory conditions in this study. Strawberry at early ripe and ripe stages were co
Externí odkaz:
https://doaj.org/article/81d8a360ac8e4f9fb09d9b82ae08b4cd
Publikováno v:
Agriculture, Vol 12, Iss 10, p 1631 (2022)
At present, picking Sichuan pepper is mainly undertaken by people, which is inefficient and presents the possibility of workers getting hurt. It is necessary to develop an intelligent robot for picking Sichuan peppers in which the key technology is a
Externí odkaz:
https://doaj.org/article/aea48fc3bdd54d85ba1342adb4aece6a
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0222633 (2019)
Determination and classification of the bruise degree for cherry can improve consumer satisfaction with cherry quality and enhance the industry's competiveness and profitability. In this study, visible and near infrared (Vis-NIR) reflection spectrosc
Externí odkaz:
https://doaj.org/article/3a8c1ac819cf4c59bf3506d29613d040
Publikováno v:
Agronomy, Vol 10, Iss 1, p 113 (2020)
Field weeds identification is challenging for precision spraying, i.e., the automation identification of the weeds from the crops. For rapidly obtaining weed distribution in field, this study developed a weed density detection method based on absolut
Externí odkaz:
https://doaj.org/article/fda18fdbbc574f89986ef0e58ab6a0a4
Publikováno v:
Sensors, Vol 18, Iss 12, p 4245 (2018)
This study developed and field tested an automated weed mapping and variable-rate herbicide spraying (VRHS) system for row crops. Weed detection was performed through a machine vision sub-system that used a custom threshold segmentation method, an im
Externí odkaz:
https://doaj.org/article/9e652d28a0d545c7a55e3f02e3a9f692
Publikováno v:
Agronomy; Volume 13; Issue 6; Pages: 1537
The segmentation and positioning of tea buds are the basis for intelligent picking robots to pick tea buds accurately. Tea images were collected in a complex environment, and median filtering was carried out to obtain tea bud images with smooth edges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::eab40e38583889af430fe7d9cf3f0279