Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bhoomin Tanut"'
Publikováno v:
Sensors, Vol 23, Iss 14, p 6387 (2023)
This article develops a colorimetric equation and a colorimetric model to create a smartphone application that identifies the ripening stage of the lady finger banana (LFB) (Musa AA group ‘Kluai Khai’, กล้วยไข่ “gluay kai” in
Externí odkaz:
https://doaj.org/article/ce49acf9c3524e7282a87d62f46a43ea
Publikováno v:
Agriculture, Vol 11, Iss 7, p 682 (2021)
This article presents a new model for forecasting the sugarcane yield that substantially reduces current rates of assessment errors, providing a more reliable pre-harvest assessment tool for sugarcane production. This model, called the Wondercane mod
Externí odkaz:
https://doaj.org/article/2101abd4cfea4f01b09b7af5928f57ff
Autor:
Bhoomin Tanut, Panomkhawn Riyamongkol
Publikováno v:
Information, Vol 11, Iss 3, p 136 (2020)
This article presents a defect detection model of sugarcane plantation images. The objective is to assess the defect areas occurring in the sugarcane plantation before the harvesting seasons. The defect areas in the sugarcane are usually caused by st
Externí odkaz:
https://doaj.org/article/a0eb75bfbec14913b1d8935678df955d
Publikováno v:
Bangmod International Journal of Mathematical and Computational Science. 8:100-108
In this paper, we introduce a new class of nonexpansive type of mapping namely, CAK-generalized nonexpansive mapping, which is more general than an AK-generalized nonexpansive mapping and $\alpha$-nonexpansive mapping. Then, we obtain the proposition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3cc1bf79f6ce07368452d143d892409
https://doi.org/10.58715/bangmodjmcs.2022.8.7
https://doi.org/10.58715/bangmodjmcs.2022.8.7
Publikováno v:
Agriculture
Volume 11
Issue 7
Agriculture, Vol 11, Iss 682, p 682 (2021)
Volume 11
Issue 7
Agriculture, Vol 11, Iss 682, p 682 (2021)
This article presents a new model for forecasting the sugarcane yield that substantially reduces current rates of assessment errors, providing a more reliable pre-harvest assessment tool for sugarcane production. This model, called the Wondercane mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::511183a2fd98f0869ceec509b96f925d