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首页> 外文会议>Amity International Conference on Artificial Intelligence >Development of a Novel Bio Inspired Framework for Fertilizer Optimization
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Development of a Novel Bio Inspired Framework for Fertilizer Optimization

机译：新型生物启发的肥料优化框架的开发

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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.
机译：肥料可增加土壤中的养分，从而改善植物生长和土壤肥力。有必要优化肥料的施肥量，以增加利润并减少对环境的破坏。尽管化学肥料在土壤养分富集中起着重要作用，但它们也对环境构成了严重威胁，包括水污染加剧，土壤污染，空气污染和酸化以及土壤矿物质耗竭。优化肥料用量可避免化学肥料对环境和生态的有害影响。本文通过果蝇优化（FFO）算法对作物施肥量进行了优化。 FFO算法是一种受生物启发的流行优化算法，旨在解决复杂的优化问题，并受到果蝇觅食行为的启发。这项研究工作的研究区域位于印度泰米尔纳德邦的哥印拜陀地区。从FFO获得的结果证明，可以通过适当的优化计划来系统地减少化肥的过量使用，从而减少化肥对作物，土壤和环境的负面影响。

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