This study aimed to develop a smart oil palm plantation and production management system. This system utilizes
Machine learning (ML) offers new technologies in the precision agriculture domain with its intelligent algorithms

Using both machine learning and deep learning techniques, our study provides a thorough comparison of our results
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Discover the potential of AI-powered vision systems in optimizing yield, detecting diseases, and improving
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The success of this project in revolutionizing palm oil plantation management using AI and drones extends far
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This study evaluates the performance of two machine learning models which are Support Vector Regression (SVR) and Gradient
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We comprehensively analyzed 17 machine learning and deep learning models for oil palm yield prediction by utilizing a
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With the high demand for oil palm production, implementations of Machine Learning (ML) technologies to provide
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This study investigates the application of YOLOv8 object detection models for identifying and counting oil palm trees
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It examines how AI technologies—ranging from remote sensing and predictive modeling to blockchain systems
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Drones have emerged as a key instrument in the revolution of palm tree recognition within oil palm plantations thanks
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With the high demand for oil palm production, implementations of Machine Learning (ML) technologies to provide
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The objective of this literature review is to i) evaluate the state of IR4 development in palm oil production processes, ii)
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Current development in precision agriculture has underscored the role of machine learning in crop yield prediction.
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The palm oil sector also contributes to the achievement of the SDGs. Sustainable development is a more inclusive
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The rapid expansion of oil palm is a major driver of deforestation and other associated damage to the climate
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This paper proposes a computerized method for detecting oil-palm plantation from remotely sensed imagery. Unlike
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Young and Mature Oil Palm Tree Detection and Counting Using Convolutional Neural Network (CNN) Deep Learning Method.
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Learn how AI-driven machine learning models are transforming palm oil agronomy. Explore their impact on
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Oil Palm Plantation Land Cover and Age Mapping Using Sentinel-2 Satellite Imagery and Machine Learning Algorithms
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The success of this project in revolutionizing palm oil plantation management using AI and drones extends far
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In a systematic literature review of oil palm plantation management, the prevailing use of GIS, Remote Sensing (RS),
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The "Oil Palm Doctor" concept represents a paradigm shift in plantation health management, combining computer
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Thus, a study of IoT, machine learning and deep learning for smart fertilization management of oil palm trees is
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Drones have emerged as a key instrument in the revolution of palm tree recognition within oil palm
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Article information Abstract Using Machine Learning to implement Precision Agriculture in oil palm plantations has shown its
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The proposed study reveals the potential of integrating deep learning algorithms with UAVs and RS to revolutionize
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Oil palm agriculture has caused extensive land cover and land use changes that have adversely affected tropical
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The increasing global demand for palm oil and its derivatives has led to significant environmental and social concerns,
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Oil palm plantation mapping is an important task in land planning and management in Malaysia. Most existing studies
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This study proposes a methodology for fast and accurate detection and counting of individual oil palm trees, acreage estimation
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Mapping the oil palm (Elaeis guineensis), the globally leading oil-bearing crop and a crucial industrial commodity, is
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