Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hongfu Ai"'
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 565 (2024)
Soil organic matter (SOM) is an essential component of soil and is crucial for increasing agricultural production and soil fertility. The combination of hyperspectral remote sensing and deep learning can be used to predict the SOM content efficiently
Externí odkaz:
https://doaj.org/article/80a9ee24954d4f6583c50a8ea1d9ef7e
Autor:
Xinle Zhang, Jian Cui, Huanjun Liu, Yongqi Han, Hongfu Ai, Chang Dong, Jiaru Zhang, Yunxiang Chu
Publikováno v:
Agriculture, Vol 13, Iss 1, p 175 (2023)
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low. Therefore, a weed identification method is proposed based on the optimized Faster R-CN
Externí odkaz:
https://doaj.org/article/5600fa5382164aaaa11e0ee57059fe9e
Publikováno v:
Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16).
Publikováno v:
Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16).
The purpose of teaching evaluation is to improve the quality of teaching. The evaluation method of teaching is numerous, and has achieved good results. Due to the particularity of the curriculum, the teaching evaluation of different courses should be
Autor:
Hongfu Ai
Publikováno v:
Proceedings of the 2015 Chinese Intelligent Automation Conference ISBN: 9783662464687
It made full use of agriculture-related data, self-learning, and prediction ability of BP neural network which is in the field of artificial intelligence is applied, and combined with fuzzy set theory, in-depth study of the related algorithm, using C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22ee16ee541e5510d041c56096460c9
https://doi.org/10.1007/978-3-662-46469-4_59
https://doi.org/10.1007/978-3-662-46469-4_59