SOIL MOISTURE

Abstract

Soil moisture is a critical parameter
in agriculture, environmental monitoring, and
hydrological studies, as it directly influences plant
growth, irrigation management, and climate modeling.
This project focuses on the measurement, analysis, and
real-time monitoring of soil moisture levels using
advanced sensing technologies and data analytics. By
leveraging Internet of Things (IoT) devices, such as
capacitive or resistive soil moisture sensors, alongside
microcontrollers and wireless communication modules,
the system aims to provide accurate, continuous, and
location-specific data on soil water content. These
readings can be used to optimize irrigation schedules,
conserve water, and enhance crop productivity.
Furthermore, integrating soil moisture data with
weather forecasts and machine learning algorithms can
enable predictive insights for precision farming. This
work ultimately contributes to sustainable agricultural
practices by ensuring efficient water resource
management, reducing water wastage, and supporting
decision-making in crop cultivation