Irrigation Optimization for Fruit Farms of Namakkal Area by Fuzzy Rules on Weather Parameters

Abstract

Scientific research in agriculture industry includes effective water management in making the process, precision oriented and cost effective. Normal drip irrigation on rotational basis is highly attended during changing monsoon conditions and found unsuitable. The smart alternative to address this problem due to dynamic monsoon is proposed by sensor embedded plants. The plants fixed with different types of multiple sensors say temperature, soil moisture and humidity distributed in proper intervals in the agricultural land, provides requirements of the plants precisely. The experimental result using fuzzy based analysis of sensor parameter enhance the action stub by increased verities of actions than the simple binary decision making. A ten days parameter readings from pomegranate and lemon plants in namakkal area subjected to fuzzy analysis shows an increase from 9% to 14% of actions for a single day of lemon and pomegranate plants.