ABSTRACT
Agriculture is perhaps the most fundamental and essential form of employment in our world, as it provides for the most basic necessities such as food. It also supplies a wide variety of products and raw materials for the manufacturing sector and acts as a catalyst for a country’s economic growth. Crop yields are increasing on a daily basis as a result of technical advancements in agriculture and farming practices, resulting in higher yields and lower levels of waste. This chapter proposes a solution for broader agricultural field management through accessing basic conditions from any remote point. A large-scale agricultural system necessitates a significant degree of maintenance and monitoring. This research aims to automate both water management and crop monitoring. This system integrates a soil moisture sensor (to measure the levels of soil moisture), a DHT11 sensor (to measure humidity and temperature), a PIR sensor (to detect motion), and an ultrasonic sensor (to calculate the tank's (storage) water level). It then transfers the sensed data to the cloud using a microcontroller like Arduino UNO and a Wi-Fi module. It also offers support in the detection of any unusual movement in the field and brings this to the alerts the farmer. Classification algorithms such as a Decision Tree are used to collect structural and systematic data that analyses data from sensors and decides whether or not to water the crop. The results of the Design Tree algorithm are utilised to send SMS messages to farmers via the GSM module. In addition, we have also included an automatic irrigation control which works without any human intervention.
