Arijit Saha, Subhadeep Ghosh, S. Bhattacharyya, A. Deyasi
{"title":"Environmental Condition based Auto-adjusted Robot Design for Agricultural Purpose","authors":"Arijit Saha, Subhadeep Ghosh, S. Bhattacharyya, A. Deyasi","doi":"10.1109/IEMENTech48150.2019.8981011","DOIUrl":null,"url":null,"abstract":"Based on the climatic conditions like temperature and humidity of the soil, a novel robot is designed which can assist farmers for judging the requirement of water and fertilizer. An efficient algorithm is made for this purpose, which sets the threshold level for decision making purpose for different requisites; and also plot the real-time data based on the pre-defined optimum level. Owing to its movement capability, it is able to provide the water and fertilizer at the specific places till the reference level is reached, and then moves thereafter. It also uses remote sensing for determining insect stress and applies insecticides as per requirement. In our agricultural-dominated country, the present solution is a much-needed solution for harvesting problems.","PeriodicalId":243805,"journal":{"name":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMENTech48150.2019.8981011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Based on the climatic conditions like temperature and humidity of the soil, a novel robot is designed which can assist farmers for judging the requirement of water and fertilizer. An efficient algorithm is made for this purpose, which sets the threshold level for decision making purpose for different requisites; and also plot the real-time data based on the pre-defined optimum level. Owing to its movement capability, it is able to provide the water and fertilizer at the specific places till the reference level is reached, and then moves thereafter. It also uses remote sensing for determining insect stress and applies insecticides as per requirement. In our agricultural-dominated country, the present solution is a much-needed solution for harvesting problems.