Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2410
Title: Smart Fertilization Management for Oil Palm Tree Based on IOT and Deep Learning.
Authors: Shaparas Daliman 
Nur Ain Najwa Mohd Adib 
Nazahatul Anis Amaludin 
Noor Janatun Naim Jemali 
Aweng Eh Rak 
Nordiana Abd Aziz 
Issue Date: Sep-2021
Publisher: UMK Publication
Abstract: 
With the adaptability of Internet of Things technologies, oil palm tree growth data and fertilization management can be utilizing effortlessly and effectively. The context of conceptual framework comprises the loT technologies, image processing, machine learning and deep learning which focuses on environmental factors that effecting the oil palm tree growth that involve temperature, humidity, soil moisture content, light and nutrient will be analyses.
Description: 
Others
URI: http://hdl.handle.net/123456789/2410
ISBN: 978-967-2912-89-7
Appears in Collections:Faculty of Earth Science - Other Publication

Files in This Item:
File Description SizeFormat
e-Proceedings-CRI2021(Aweng).pdf832.72 kBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.