Thesis Abstract

Abstract
This research project focuses on the design and implementation of a soil moisture detector integrated with an automatic SMS notification system. Soil moisture plays a critical role in agriculture, affecting crop growth and yield. Monitoring soil moisture levels can help farmers optimize irrigation practices, reduce water usage, and increase crop productivity. The proposed system aims to provide a cost-effective and user-friendly solution for real-time soil moisture monitoring. The soil moisture detector utilizes sensors to measure the moisture content of the soil. These sensors are connected to a microcontroller, which processes the sensor data and determines the moisture level. The system is designed to be low-power, allowing for long-term monitoring without frequent battery replacements. An LCD display is incorporated to provide real-time soil moisture readings for on-site monitoring. In addition to on-site monitoring, the system features an automatic SMS notification system. When the soil moisture level falls below a certain threshold, the system sends an alert to the user via SMS. This feature enables farmers to receive timely notifications and take immediate action to adjust irrigation schedules or apply water-saving techniques. The SMS notification system is implemented using a GSM module, which allows the system to send text messages to the user's mobile phone. By leveraging SMS technology, the system ensures reliable and widespread communication, even in remote areas with limited internet connectivity. This real-time notification capability empowers farmers to make informed decisions based on the current soil moisture conditions, ultimately improving crop health and yield. The system is designed to be scalable and adaptable to different soil types and agricultural practices. Farmers can customize the moisture threshold levels based on their specific crop requirements and soil characteristics. The system can also be integrated with weather forecast data to provide predictive insights and optimize irrigation scheduling. Overall, the soil moisture detector with automatic SMS notification system offers a practical and efficient solution for monitoring soil moisture levels in agriculture. By combining sensor technology with mobile communication, the system provides farmers with actionable insights to enhance crop productivity and sustainability. The research findings demonstrate the effectiveness and potential impact of this integrated system in modern agriculture practices.

Thesis Overview

INTRODUCTION
1.1 Background to the study
Through the ages agriculture production systems have benefited from the incorporation of technological advances primarily developed for other industries. The industrial age brought mechanization and synthesized fertilizers, the technological age offered genetic engineering and now the information age brings the potential for Precision Agriculture (Rasher, 2001). Precision agriculture (PA) , satellite farming or Site Specific Crop Management (SSCM) can be defined as a set of technologies that have helped propel agriculture into the computerized information-based world, and is designed to help farmers get greater control over the management of farm operations (Gandonou, 2005). One of the key technologies of precision agriculture is the control and accurate measurement of the soil moisture. For decades, the subject of soil moisture has been of great interest in agricultural system. Prior to advancement in agriculture, farmer has picked up and felt a handful of soil to determine the best time to plow his fields and equally to manually determine the amount of moisture content of the soil. Soil moisture measurement ranges from the method of feeling the soil to the use of complicated electronic equipment using radioactive substances. Such method includes the use of soil sensor. Since the inception of precision agriculture, soil sensors have been used to measure the soil moisture level. The soil moisture sensors measure the volumetric water content of the soil by using electrical resistance, dielectric constant, etc. The farmer uses the information obtained from the soil moisture sensor to make
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