Leveraging LoRaWAN technology for smart agricultural monitoring of Malaysian palm oil plantation

R Anzum, J Naeem - IOP Conference Series: Earth and …, 2021 - iopscience.iop.org
Palm oil is a vital cash crop in tropical Asia. Implementation of technology in palm oil
industry not only increase production but also it reduces the plantation management cost …

[HTML][HTML] A new machine learning approach in detecting the oil palm plantations using remote sensing data

K Xu, J Qian, Z Hu, Z Duan, C Chen, J Liu, J Sun… - Remote Sensing, 2021 - mdpi.com
The rapid expansion of oil palm is a major driver of deforestation and other associated
damage to the climate and ecosystem in tropical regions, especially Southeast Asia. It is …

[HTML][HTML] Vegetation effects on soil moisture retrieval from water cloud model using PALSAR-2 for oil palm trees

V Shashikant, AR Mohamed Shariff, A Wayayok… - Remote Sensing, 2021 - mdpi.com
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 …

[HTML][HTML] Influence of weather and endogenous cycles on spatiotemporal yield variation in oil palm

JP Monzon, M Jabloun, J Cock, JP Caliman… - Agricultural and Forest …, 2022 - Elsevier
Oil palm is the major source of vegetable oil in the world and Indonesia is the main palm oil
producing country. There is limited knowledge on the factors accounting for spatial and …

[PDF][PDF] Evaluasi Kondisi Kebun Kelapa Sawit Menggunakan Indeks NDVI dari Citra Satelit Sentinel 2

B Yuniasih, ARP Adjie - J. Teknotan, 2022 - core.ac.uk
Citra satelit Sentinel 2 merupakan citra satelit resolusi sedang yang dapat dimanfaatkan
untuk memantau kondisi kebun kelapa sawit menggunakan analisis Normalized Difference …

Impact of Climate Variability on Oil Palm Yield

SIB Ismail, NB Ya'Acob… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Oil palm yield is a crucial aspect in determining the profitability of the worldwide oil palm
sector. The amount of oil that can be extracted from an oil palm plantation is dependent on a …

Development of a system based on aerial images for the morphological patterns classification using support vector machine

D Montero, W Arenas, S Salinas… - Journal of Physics …, 2020 - iopscience.iop.org
Oil palm cultivation is one of the major agricultural activities in Colombia. Production
performance is related to the good practices in the plantation, mainly regarding the …

Perbandingan Indeks Vegetasi NDVI dan SAVI di Kebun Kelapa Sawit pada Kondisi El Nino dan La Nina

DAS Wardana, B Yuniasih… - AGROISTA: Jurnal …, 2023 - jurnal.instiperjogja.ac.id
The extreme weather condition El Nino can cause Indonesia to experience a prolonged dry
season, while La Nina causes a prolonged rainy season. These conditions affect the …

[PDF][PDF] Predicting Nitrogen Content in Oil Palms through Machine Learning and RGB Aerial Imagery

KLES Putra, FS Pramudya, AAS Gunawan, P Mimboro - academia.edu
Nitrogen is a crucial nutrient for the sustainable health and productivity of oil palm
plantations. Accurate fertilization for Nitrogencan optimize production while reducing …

[PDF][PDF] A New Machine Learning Approach in Detecting the Oil Palm Plantations Using Remote Sensing Data. Remote Sens. 2021, 13, 236

K Xu, J Qian, Z Hu, Z Duan, C Chen, J Liu, J Sun, S Wei… - 2021 - pdfs.semanticscholar.org
The rapid expansion of oil palm is a major driver of deforestation and other associated
damage to the climate and ecosystem in tropical regions, especially Southeast Asia. It is …