Oct 1, 2020 · Machine learning is an important decision support tool for crop yield prediction, including supporting decisions on what crops to grow and what to do during the growing …

Through a systematic literature review and analysis of relevant studies, this paper explores the role of AI methods, such as Machine Learning (ML) and Deep Learning (DL), in addressing the …

Mar 1, 2025 · Using machine learning (ML) for crop yield prediction can be challenging, particularly in selecting appropriate algorithms. Despite significant research, the growing …

1 day ago · This study validates AI algorithms for crop yield optimization by examining key factors: Performance metrics; accuracy, precision, recall, F1-score, and MSE evaluate model …

Jan 21, 2025 · We explore various machine learning models, including regression algorithms and neural networks, to predict crop yields based on historical data, soil characteristics, and …

2 days ago · However, it remains unclear to what extent machine learning can accurately predict crop yield or SOC when biochar is applied to soil. In this study, Random Forest (RF) and …

2 days ago · The use of machine learning for crop yield prediction was examined by Keerthana et al., ... Laha, S.R. Advancements in Precision Agriculture: A Machine Learning-Based …

Mar 29, 2025 · Predictions of agricultural crop yield have increasingly relied on computer vision and machine learning strategies in recent years. Using these methods, the prospective yield of …

For agricultural planning utilizing information approaches or system learning methodologies, several studies explored crop yield price forecast, weather prediction, soil category and crop …

Sep 13, 2024 · Summary This chapter attempts to improve the accuracy and efficiency of applying machine learning algorithms for predicting crop yields. This research examines the …