Artificial Intelligence In Agriculture (AIA) To Predictive Analysis For Crop Suitability And Fertilizer Efficiency

Abstract

The principal objective of this article is to cultivate an all-encompassing solution for addressing diverse challenges in the agricultural sector. With the rising prominence of Machine Learning, which involves enabling machines to create educated results founded on provided datasets, integration of this expertise plays a crucial part in achieving paper  goals. Specifically, the initiative emphases on guessing the most appropriate crops for farming based on land conditions and determining the optimal fertilizer quantities considering weather patterns and farming practices. This system seeks to replace the traditional, manual, and often imprecise methods used by farmers, empowering them to make data-driven decisions that result in enhanced agricultural productivity and yields.