Development of a Novel Bio Inspired Framework for Fertilizer Optimization

摘要

Fertilizers enhance nutrients in the soil to improve plant growth and soil fertility. It is necessary to optimize the amount of fertilizers applied to a crop to increase profitability and to reduce environmental damage. Though chemical fertilizers play a significant role in soil nutrients enrichment, they also pose severe threat to the environment, which include augmented water pollution, soil pollution, air pollution and acidification and soil mineral depletion. optimizing the quantity of fertilizers applied to the crop avoid harmful effects of chemical fertilizers on environment and ecology. In this paper, the quantity of fertilizers applied to the crops is optimized by using Fruit Fly optimization (FFO) algorithm. FFO algorithm is a popular bio-inspired optimization algorithm, aimed to resolve complex optimization problems and is inspired by the foraging behaviour of fruit flies. The study area of this research work is Coimbatore region, located in Tamilnadu state, India. The results obtained from FFO have proven that excessive application of fertilizers could be systematically minimized through proper optimization planning thereby reducing the negative impacts of chemical fertilizers on the crops, soil and the environment.