{"id":58684,"date":"2026-09-14T11:00:00","date_gmt":"2026-09-14T08:00:00","guid":{"rendered":"https:\/\/www.craftoil.net\/?p=58684"},"modified":"2026-09-11T10:19:12","modified_gmt":"2026-09-11T07:19:12","slug":"shi-bude-prohnozuvaty-vrozhainist-oliinykh-palm","status":"publish","type":"post","link":"https:\/\/www.craftoil.net\/en\/news-en\/shi-bude-prohnozuvaty-vrozhainist-oliinykh-palm\/","title":{"rendered":"Artificial intelligence and drones to predict oil palm plantation yields"},"content":{"rendered":"\n

Artificial intelligence has long ceased to be merely a convenient service. It has become an important, and sometimes indispensable, part of most areas of modern life. Agriculture and the palm oil industry are no exception.<\/p>\n\n\n\n

In Indonesia, researchers and agricultural specialists are actively developing a technology called Vision AI. Its goal is to provide comprehensive monitoring of oil palm plantations, covering every stage of production \u2014 from seedling growth to forecasting the volume and quality of future yields.<\/p>\n\n\n\n

What is Vision AI and how will it work?<\/h2>\n\n\n
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During the cultivation of oil palm seedlings, the system will analyze leaf color, canopy density and crown structure, identifying abnormalities and promptly reporting them to the relevant agricultural services.<\/p>\n\n\n\n

Once the palms have been planted, artificial intelligence will make it possible to automate plantation inventories and quickly identify dead oil palms and vacant areas within plantations.<\/p>\n\n\n\n

The data obtained from images captured by the system is expected to be integrated with GIS (Geographic Information Systems). This will make it possible to identify areas that require replanting or additional quality monitoring.<\/p>\n\n\n\n

Vision AI will also be capable of detecting basal stem rot in the field \u2014 one of the most common and dangerous diseases affecting oil palm trees.<\/p>\n\n\n\n

Another potentially promising application is palm oil production forecasting. By analyzing the number of fruit bunches and comparing this data with the harvest readiness index, artificial intelligence will be able to estimate how much palm oil could potentially be produced during the current season.<\/p>\n\n\n\n

This information could be extremely useful for planning the production capacity of palm oil processing facilities and optimizing logistics.<\/p>\n\n\n\n

AI could also potentially be trained to assess the quality of harvested oil palm fruit, identifying unripe, rotten, dried-out or damaged fruit. This could reduce the amount of pre-processing required and potentially improve the quality of the final palm oil product.<\/p>\n\n\n\n

Why is palm oil so popular?<\/h3>\n\n\n\n

The fat extracted from oil palm fruit is widely used in the food industry, as well as in the production of household chemicals, cosmetics and even biofuels.<\/p>\n\n\n\n

Palm oil is characterized by its neutral aroma, almost complete lack of taste and relatively low cost.<\/p>\n\n\n\n

The quality of palm oil depends directly on the production technology and degree of purification. Large-scale producers typically extract the oil using high-capacity screw presses, after which it undergoes refining and deodorization.<\/p>\n\n\n\n

This approach makes it possible to maximize oil extraction from the raw material, but it can negatively affect the nutritional and sensory qualities of the product.<\/p>\n\n\n\n

In contrast, genuinely natural and minimally processed oils <\/a>are often produced using cold-press extraction, which helps preserve more of the natural properties of the raw material.<\/p>\n\n\n\n

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