Global Map of Oil Palm Plantations - Google Developers
The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images are the output of a...
Digitalising palm oil sustainability: AI and satellite imaging ...
Nov 9, 2021 · The Malaysian palm oil industry has highlighted artificial intelligence (AI) and satellite imaging as crucial technologies to be integrated into the sector to aid sustainability and secure the industry’s future.
Leveraging on Advanced Remote Sensing- and Artificial …
Feb 20, 2023 · This paper reviews some of the latest technologies equipped with remote sensing, AI, and image processing for managing the palm oil plantation.
Detection & Forecasting of Palm Oil Plantations Using ... - Medium
Feb 28, 2023 · The collected satellite images had to either contain: Palm oil plantations with clearly identifiable features; No palm oil plantations
Smart Oil Palm Intelligence (SOPI) - Anavision
A detailed oil palm plantation area analysis report with counted numbers, planting distance, tree height and other useful information will be generated automatically by SOPI software to provide high level oil palm intelligence to site manager and decision makers.
oil palm plantations using Sentinel-2 and Landsat-8 data with machine learning models. In Thailand, (Code et al., 2023) used Sentinel-2 with convolutional neural networks (CNNs) and achieved 89-93% accuracy for oil palm and rubber plantation mapping. In Colombia, González-Arcila (2021) used Sentinel-2 data and CNNs to map oil
Digitalising Palm Oil Sustainability: AI and Satellite Imaging
Nov 9, 2021 · The Malaysian palm oil industry has highlighted artificial intelligence (AI) and satellite imaging as crucial technologies to be integrated into the sector. ©Getty Images. Malaysia is the second largest producer of palm oil globally, and over the past few years has been engaged in a fierce debate with western markets such as the European Union ...
The results revealed 97.06%, 96.58%, and 97.79% correct oil palm detection. Based on these results, the study concluded that the proposed method is more effective, accurate in detection, and correctly counts the number of oil palm trees from the UAV images.
Mapping smallholder plantation as a key to sustainable oil palm: …
Apr 1, 2023 · To produce maps of smallholder oil palm plantations, a new approach that can rapidly and vastly draw these areas is urgently needed. A deep-learning model applied to high-resolution satellite images was developed.
(PDF) Leveraging on Advanced Remote Sensing- and Artificial ...
Feb 20, 2023 · This paper reviews some of the latest technologies equipped with remote sensing, AI, and image processing for managing the palm oil plantation.
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