| Abstrakt: |
The article explores the forecasting of plant nutrient requirements and crop fertilizer needs using machine learning to promote sustainable farming practices and precision agriculture. The experiment assesses farmer details, soil attributes and nutrient levels such as organic carbon percentage, nitrogen content, phosphorus content, potassium content, concentration levels of sulphur, zinc, iron, manganese and copper, lime status, and distribution of potential of hydrogen level in fertilizer. |
