Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hend K. Rasheed"'
Autor:
Christopher D. Whitmire, Jonathan M. Vance, Hend K. Rasheed, Ali Missaoui, Khaled M. Rasheed, Frederick W. Maier
Publikováno v:
AI, Vol 2, Iss 1, Pp 71-88 (2021)
Predicting alfalfa biomass and crop yield for livestock feed is important to the daily lives of virtually everyone, and many features of data from this domain combined with corresponding weather data can be used to train machine learning models for y
Externí odkaz:
https://doaj.org/article/c783f4f52b2943849e33934d3fa1706a
Autor:
Frederick Maier, Ali Missaoui, Khaled Rasheed, Hend K. Rasheed, Jonathan M. Vance, Christopher D. Whitmire
Publikováno v:
AI
Volume 2
Issue 1
Pages 6-88
AI, Vol 2, Iss 6, Pp 71-88 (2021)
Volume 2
Issue 1
Pages 6-88
AI, Vol 2, Iss 6, Pp 71-88 (2021)
Predicting alfalfa biomass and crop yield for livestock feed is important to the daily lives of virtually everyone, and many features of data from this domain combined with corresponding weather data can be used to train machine learning models for y