Open AccessDesign of prescriptive model using nano-enabled sensors for water treatment and precise drip irrigation
Author(s) -
N. Anitha.,
R Devi Priya,
C Baskar,
D Jaikaran
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012068
Subject(s) - water resources , environmental science , drip irrigation , agriculture , water scarcity , low flow irrigation systems , irrigation , scarcity , population , agricultural engineering , water resource management , water conservation , farm water , environmental engineering , engineering , geography , agronomy , economics , ecology , demography , archaeology , sociology , biology , microeconomics
Agriculture is one of the major sources of Indian economy where 60% of the population depend on it for survival. Due to increase in population size, water scarcity problem and pollutant water from industries directly affects economic growth in agriculture field. Over the past decade, many researchers have addressed this problem and provided solutions for water treatment and methodologies to effectively use water resources based on crop need. Most studies have only focused on effective water management practice and failed to remove water toxicants. Hence this paper seeks to address the removal of heavy metals in water resources using nano-sensors and proposed a prescriptive model to estimate the amount of resources like nutrients, fertilizers and water based on crop requirements. The proposed model is designed with the objective of implementation in irrigation areas to effectively remove toxicants from water resources and efficiently manage resources like nutrients, soil, fertilizers and water based on drip irrigation.