Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Guifa Teng"'
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36376- (2024)
Quantitative Magnetic Resonance Imaging (qMRI) offers precise measurements of the relaxation characteristics of microstructures, representing a cutting-edge method in non-destructive fruit analysis. This study aims to visualize information on changes
Externí odkaz:
https://doaj.org/article/1842e8d75a43410db8916d171ca1db6c
Publikováno v:
IEEE Access, Vol 12, Pp 5270-5283 (2024)
The use of computer vision to estimate the Body Condition Score for cow has demonstrated to be feasible. However, most research has been limited to fixed camera positions, which restricts the technique’s usefulness. This research acquired cow data
Externí odkaz:
https://doaj.org/article/0c8508f912e64782b3eaed46caf4c47a
Publikováno v:
Agriculture, Vol 14, Iss 5, p 666 (2024)
Leaf spot disease is an extremely common disease in the growth process of maize in Northern China and its degree of harm is quite significant. Therefore, the rapid and accurate identification of maize leaf spot disease is crucial for reducing economi
Externí odkaz:
https://doaj.org/article/c9a30dd7c667418a9e04be381d1b6e2b
Publikováno v:
Agriculture, Vol 14, Iss 1, p 126 (2024)
In agricultural production, rapid and accurate detection of peach blossom bloom plays a crucial role in yield prediction, and is the foundation for automatic thinning. The currently available manual operation-based detection and counting methods are
Externí odkaz:
https://doaj.org/article/e9a478b564f94b03a89d84e375490dd0
Publikováno v:
Information Processing in Agriculture, Vol 8, Iss 2, Pp 232-243 (2021)
The measurement of crop nutrition is considerably significant in agricultural practices, especially in the application of mechanized variable rate fertilization. Feature extraction and model building are two important links in crop nutrition measurem
Externí odkaz:
https://doaj.org/article/cf8ae4f0bb1446f9a60e89c5b2f82efa
Publikováno v:
PeerJ, Vol 10, p e13638 (2022)
Roots assist plants in absorbing water and nutrients from soil. Thus, they are vital to the survival of nearly all land plants, considering that plants cannot move to seek optimal environmental conditions. Crop species with optimal root system are es
Externí odkaz:
https://doaj.org/article/d132414c575d49e9878aedc5cde83bd6
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
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
The disease image recognition models based on deep learning have achieved relative success under limited and restricted conditions, but such models are generally subjected to the shortcoming of weak robustness. The model accuracy would decrease obvio
Externí odkaz:
https://doaj.org/article/9aa674f6c706414781781d972a414d12
Publikováno v:
Agronomy, Vol 12, Iss 10, p 2555 (2022)
The development of resistant cucumber varieties is of a great importance for reducing the production loss caused by root-knot nematodes. After cucumber plants are infected with root-knot nematodes, their roots will swell into spherical bumps. Rapid a
Externí odkaz:
https://doaj.org/article/579e0156d14b4aa79023cf8193fd504f
Publikováno v:
Agronomy, Vol 12, Iss 9, p 2130 (2022)
In order to integrate fragmented text data of crop disease knowledge to solve the current problems of disordered knowledge management, weak correlation and difficulty in knowledge sharing, a Chinese named-entity–relation-extraction model for crop d
Externí odkaz:
https://doaj.org/article/539ac55181c34d2c97ecfcd65e3506dc