Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kantip Kiratiratanapruk"'
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).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0518c9fd7f846f9f124b876278a1007c
https://doi.org/10.1109/isai-nlp56921.2022.9960251
https://doi.org/10.1109/isai-nlp56921.2022.9960251
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db5c6c48b22b15423ec4aab0fe90cb34
https://doi.org/10.1155/2020/7041310
https://doi.org/10.1155/2020/7041310
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
Publikováno v:
ISPACS
To increase the productivity in agricultural production, speed and accuracy are key requirement. In this paper, we proposed image analysis technique for silkworm egg quality inspection. We focus on silkworm images from the last incubation period beca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1f57d7ff5926d08e049fcde009fe9a2
https://doi.org/10.1109/ispacs.2016.7824731
https://doi.org/10.1109/ispacs.2016.7824731
Publikováno v:
2014 International Computer Science and Engineering Conference (ICSEC).
Machine vision has been applied to various material inspection processes in agricultural industry in order to achieve fast and accurate operation. In this paper, we propose an image processing technique for silkworm eggs analysis. The proposed techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b29aa497ba6ea5c058cf56b2a162494f
https://doi.org/10.1109/icsec.2014.6978219
https://doi.org/10.1109/icsec.2014.6978219
Publikováno v:
ISCIT
In this paper, we propose silkworm eggs image segmentation technique based on centroid detection in low contrast image. The objective of this work is to identify individual objects from clustered objects for quantity evaluation. The technique can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02c2122f28c02d02e30cfa5ebb446608
https://doi.org/10.1109/iscit.2012.6380864
https://doi.org/10.1109/iscit.2012.6380864
Publikováno v:
ISPACS
Machine vision has been applied to various food materials inspection process of agricultural industry in order to achieve fast and accurate operation. In this paper, we proposed a method to classify more than ten categories of seed defects by using c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d54dc2b7ed5576a9b83196d9877aebd
https://doi.org/10.1109/ispacs.2011.6146100
https://doi.org/10.1109/ispacs.2011.6146100
Publikováno v:
2010 International Conference on Electronics and Information Engineering.
In this paper, we propose touching round grain segmentation technique based on center of individual grain and concavity of image boundary. The objective of this work is to identify single grain and detect position of touching round grain in binary im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2594a0f15f3cb4a0193964fa6e081dab
https://doi.org/10.1109/iceie.2010.5559878
https://doi.org/10.1109/iceie.2010.5559878
Autor:
S. Siddhichai, Kantip Kiratiratanapruk
Publikováno v:
TENCON 2006 - 2006 IEEE Region 10 Conference.
This paper presents a real-time video traffic monitoring application based on object detection and tracking, for determining traffic parameters such as vehicle velocity and number of vehicles. In detection step, background modeling approach based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e2a1c13c43b8e1324e002d4274cef43
https://doi.org/10.1109/tencon.2006.343888
https://doi.org/10.1109/tencon.2006.343888