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Machine learning has emerged as a powerful tool for computational analysis, enabling the processing and interpretation of large volumes of historical agricultural data to forecast future …
Machine Learning (ML), a subset of Artificial Intelligence (AI), has revolutionized the agricultural landscape, giving rise to Precision Agriculture (PA). This approach leverages data-driven …
30 thg 4, 2025 · This chapter discusses the use of ML in precision agriculture , emphasizing its capacity to maximize crop output and improve agricultural practices.
1 thg 8, 2024 · Precision agriculture is a data-driven method that utilizes various instruments like sensors, drones, GPS guidance systems, and machine learning algorithms [2] to analyse and …
In this systematic literature review (SLR), we examine research from 2015 to 2023 on the diverse applications of ML in agriculture. A key area explored in this SLR is disease detection, …
Machine learning, especially deep learning models such as convolutional neural networks (CNNs), is widely used in plant disease research to detect pathogens, reduce crop losses, and …
In this article, authors present a systematic review of ML applications in the field of agriculture. The areas that are focused are prediction of soil parameters such as organic carbon and …
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