{"title":"Fuzzy Interface Automatic Brassica Horticulture Hoop House","authors":"Prakriti Aggarwal, Anita Thakur","doi":"10.1109/SPIN.2019.8711750","DOIUrl":null,"url":null,"abstract":"Water has the requisite attribute that decides its use as an asset by agribusiness. Crop production is highly dependent on the horticultural utilization of water for irrigation system. Automatic sprinkler system presents the potential to resolve the conundrum of inefficient water utilization with regulation of environmental factors at optimum level. It controls the stream of water and accordingly empowers the cultivator to gain upgraded results for crops. The proposed work presents a novel and proficient sprinkler framework based on fuzzy inference technique. The objective of this novel system is to actualize a controlled sprinkler scheduler as per the optimal environmental conditions of the Brassica crops. The design of automatic sprinkler system has been presented with MATLAB based fuzzy tool for simulation and analysis. The outcomes show that the fuzzy model is an efficient method for computing fluctuating ecological parameters and additionally the required net water system. Moreover, the proposed work presents a framework to ascertain the flow of sprinkler system, which well suits both small scale water system techniques: sprinkler and drip water system.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIN.2019.8711750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Water has the requisite attribute that decides its use as an asset by agribusiness. Crop production is highly dependent on the horticultural utilization of water for irrigation system. Automatic sprinkler system presents the potential to resolve the conundrum of inefficient water utilization with regulation of environmental factors at optimum level. It controls the stream of water and accordingly empowers the cultivator to gain upgraded results for crops. The proposed work presents a novel and proficient sprinkler framework based on fuzzy inference technique. The objective of this novel system is to actualize a controlled sprinkler scheduler as per the optimal environmental conditions of the Brassica crops. The design of automatic sprinkler system has been presented with MATLAB based fuzzy tool for simulation and analysis. The outcomes show that the fuzzy model is an efficient method for computing fluctuating ecological parameters and additionally the required net water system. Moreover, the proposed work presents a framework to ascertain the flow of sprinkler system, which well suits both small scale water system techniques: sprinkler and drip water system.