Water Flow Detection and Nutrient Level Analysis of a Coconut Tree

Abstract

Agriculture plays a major role in the development of a nation. The basic aim of agriculture is to help the human in the development of their growth by supplying energy rich crops by improving the soil and water supply. Securing agriculture is really a difficult task in today’s world. An increase in population increases the contamination of healthy food and water. To ensure better crop production and to minimize over utilization of water in a coconut tree, nutrient level analysis and smart water management system has been established. The use of sensors such as moisture sensor, flow sensor, Ph sensor helps in detecting moisture content of the soil and flow of water through the pipe and acidity level of the soil. A machine learning algorithm is proposed to predict the occurrence of a button shedding diseases in a coconut tree by observing the acidity level and moisture content of the soil. The motor is also attached with the flow sensors to observe the flow of water and to avoid overflow of water. Our project aims in the use of smart water management system to use the available water resources effectively. The main aim of our project is to increase the crop yield in a coconut tree and to avoid over contamination of water to agricultural fields.