Smart Fields: Enhancing Agriculture with Machine Learning

Abstract

Agriculture is a cornerstone of India’s economy, supporting a vast majority of its population. However, farmers grapple with selecting the right crop due to diverse soil characteristics, environmental factors, plant diseases, and the need for consistent crop monitoring. This paper presents a smart system assisting farmers in specific crop selection, integrating plant diseases and consistent monitoring as vital features. By considering comprehensive data on environmental parameters(moisture), soil characteristics (including N, P, K levels), plant diseases, and consistent crop monitoring, the system recommends the most suitable crop for each season. Moreover, it offers fertilizer suggestions aligned with optimal nutrient requirements, particularly focusing on N, P, and K levels, aiming to enhance farming efficiency and sustainability.