Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pitchayagan Temniranrat"'
Publikováno v:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Autor:
Sarin Watcharabutsarakham, Sanparith Marukatat, Kantip Kiratiratanapruk, Pitchayagan Temniranrat
Publikováno v:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Autor:
Supanit Porntheeraphat, Wasin Sinthupinyo, Kantip Kiratiratanapruk, Anchalee Prasertsak, Panintorn Prempree, Kosom Chaitavon, Pitchayagan Temniranrat
Publikováno v:
Journal of Sensors, Vol 2020 (2020)
To increase productivity in agricultural production, speed, and accuracy is the key requirement for long-term economic growth, competitiveness, and sustainability. Traditional manual paddy rice seed classification operations are costly and unreliable
Autor:
Sujin Patarapuwadol, Apichon Kitvimonrat, Kantip Kiratiratanapruk, Pitchayagan Temniranrat, Wasin Sinthupinyo
A LINE Bot System to diagnose rice diseases from actual paddy field images was developed and presented in this paper. It was easy-to-use and automatic system designed to help rice farmers improve the rice yield and quality. The targeted images were t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04fbc7ef29ef46173574ec3bf6347a4a
http://arxiv.org/abs/2011.10823
http://arxiv.org/abs/2011.10823
Autor:
Apichon Kitvimonrat, Sujin Patarapuwadol, Wasin Sinthupinyo, Pitchayagan Temniranrat, Kantip Kiratiratanapruk
Publikováno v:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881
IEA/AIE
IEA/AIE
Rice is a staple food feeding more than half of the world’s population. Rice disease is one of the major problems affecting rice production. Machine Vision Technology has been used to help develop agricultural production, both in terms of quality a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a3c28c3825856a7d1331552c36a715a
https://doi.org/10.1007/978-3-030-55789-8_20
https://doi.org/10.1007/978-3-030-55789-8_20
Autor:
Kiratiratanapruk, Kantip, Temniranrat, Pitchayagan, Sinthupinyo, Wasin, Prempree, Panintorn, Chaitavon, Kosom, Porntheeraphat, Supanit, Prasertsak, Anchalee
Publikováno v:
Journal of Sensors; 7/1/2020, p1-14, 14p