Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Veena Shashikant"'
Publikováno v:
Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ, Vol 34 (2021)
5G technology is vital for the development of Internet of Things (IoT) application in Malaysia to enhance the development of the agriculture and plantation industry. The nation is marching towards big data and artificial intelligence. Consequently, h
Externí odkaz:
https://doaj.org/article/76fc1b349d9749b68616d61a419e3e64
Autor:
Veena Shashikant, Abdul Rashid Mohamed Shariff, Aimrun Wayayok, Md Rowshon Kamal, Yang Ping Lee, Wataru Takeuchi
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4729 (2021)
Synthetic-aperture radar’s (SAR’s) capacity to resolve the cloud cover concerns encountered while gathering optical data has tremendous potential for soil moisture data retrieval using SAR data. It is possible to use SAR data to recover soil mois
Externí odkaz:
https://doaj.org/article/b7cae526cb0244c283c3e51ff7e09dad
Autor:
Veena Shashikant, Abdul Rashid Mohamed Shariff, Aimrun Wayayok, Md Rowshon Kamal, Yang Ping Lee, Wataru Takeuchi
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4023 (2021)
In oil palm crop, soil fertility is less important than the physical soil characteristics. It is important to have a balance and sufficient soil moisture to sustain high yields in oil palm plantations. However, conventional methods of soil moisture d
Externí odkaz:
https://doaj.org/article/57cfd73f906f4955b8b719c277aed712
Autor:
Veena Shashikant, Abdul Rashid Mohamed Shariff, Aimrun Wayayok, Md Rowshon Kamal, Yang Ping Lee, Wataru Takeuchi
Publikováno v:
Agronomy, Vol 11, Iss 6, p 1243 (2021)
Agricultural drought is crucial in understanding the relationship to crop production functions which can be monitored using satellite remote sensors. The aim of this research is to combine temperature vegetation dryness index (TVDI) and normalized di
Externí odkaz:
https://doaj.org/article/5ebf6a99f0684c66aafdecdb0f7f9eff
Autor:
Veena Shashikant, Abdul Rashid Mohamed Shariff, Aimrun Wayayok, Md Rowshon Kamal, Yang Ping Lee, Wataru Takeuchi
Publikováno v:
IoT and AI in Agriculture ISBN: 9789811981128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f7d159c957168e0313b362303dda21
https://doi.org/10.1007/978-981-19-8113-5_18
https://doi.org/10.1007/978-981-19-8113-5_18
Autor:
Aimrun Wayayok, Veena Shashikant, Abdul Rashid Mohammed Shariff, Lee Y. Ping, Kamal M. Rowshon
Publikováno v:
Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ, Vol 34 (2021)
5G technology is vital for the development of Internet of Things (IoT) application in Malaysia to enhance the development of the agriculture and plantation industry. The nation is marching towards big data and artificial intelligence. Consequently, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6952028066b040966b4eb5e3c23ac203
https://bjas.bajas.edu.iq/index.php/bjas/article/view/429
https://bjas.bajas.edu.iq/index.php/bjas/article/view/429
Autor:
Aimrun Wayayok, Wataru Takeuchi, Rowshon Kamal, Abdul Rashid Mohamed Shariff, Yang Ping Lee, Veena Shashikant
Publikováno v:
Agronomy
Volume 11
Issue 6
Agronomy, Vol 11, Iss 1243, p 1243 (2021)
Volume 11
Issue 6
Agronomy, Vol 11, Iss 1243, p 1243 (2021)
Agricultural drought is crucial in understanding the relationship to crop production functions which can be monitored using satellite remote sensors. The aim of this research is to combine temperature vegetation dryness index (TVDI) and normalized di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4239aacdc980f7561311f30a98cd7c1
Autor:
Aimrun Wayayok, Veena Shashikant, Rowshon Kamal, Abdul Rashid Mohamed Shariff, Wataru Takeuchi, Yang Ping Lee
Publikováno v:
Remote Sensing, Vol 13, Iss 4729, p 4729 (2021)
Remote Sensing
Volume 13
Issue 23
Pages: 4729
Remote Sensing
Volume 13
Issue 23
Pages: 4729
Synthetic-aperture radar’s (SAR’s) capacity to resolve the cloud cover concerns encountered while gathering optical data has tremendous potential for soil moisture data retrieval using SAR data. It is possible to use SAR data to recover soil mois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::705a15638f63cfb56b0608064aec612f
https://doi.org/10.3390/rs13234729
https://doi.org/10.3390/rs13234729
Publikováno v:
2012 IEEE Colloquium on Humanities, Science and Engineering (CHUSER).
The main objective of this paper is to show the potential use of L-Band SAR polarimetry. We used SAR images to estimate the above ground biomass (AGB) of an oil palm plantation. The approach used in this study was to analyze the relationship between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::375ee6402810705f0a9481f70047e637
https://doi.org/10.1109/chuser.2012.6504430
https://doi.org/10.1109/chuser.2012.6504430
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::03cd1901c63cf5a9caf8674c03932680
http://www.scopus.com/inward/record.url?eid=2-s2.0-84880023665&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84880023665&partnerID=MN8TOARS