Exploring Machine Learning Models for Soil Nutrient Properties Prediction: A Systematic Review
نویسندگان
چکیده
Agriculture is essential to a flourishing economy. Although soil for sustainable food production, its quality can decline as cultivation becomes more intensive and demand increases. The importance of healthy cannot be overstated, lack nutrients significantly lower crop yield. Smart prediction digital mapping offer accurate data on nutrient distribution needed precision agriculture. Machine learning techniques are now driving intelligent systems. This article provides comprehensive analysis the use machine in predicting qualities. components qualities soil, parameters, existing dataset, map, effect growth, well information system, key subjects under inquiry. agriculture, exemplified by this study, improve productivity.
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ژورنال
عنوان ژورنال: Big data and cognitive computing
سال: 2023
ISSN: ['2504-2289']
DOI: https://doi.org/10.3390/bdcc7020113