R. Sumathi, P. Raveena, P. Rakshana, P. Nigila, P. Mahalakshmi
{"title":"Real Time Protection of Farmlands from Animal Intrusion","authors":"R. Sumathi, P. Raveena, P. Rakshana, P. Nigila, P. Mahalakshmi","doi":"10.1109/AIC55036.2022.9848808","DOIUrl":null,"url":null,"abstract":"Crop Vandalization due to animals is becoming area of concern nowadays. When an animal enters the land, farmers lose their crops, properties, livestock. It is eroding the time and efforts of farmers. They also get affected economically due to loss of crops. Conflicts between humans and animals keep putting lives in danger. Methods like electrocution causes intense pain to animals, sometimes leading to their death. An effective system for preventing animal intrusion is more and more necessary. Regarding to this problem we implement a system to provide a real time visibility of farmlands which is perfect and adaptive. Surveillance of farmlands is carried out and when animals are encountered, they are categorized using YOLO algorithm and corrective actions are made depending on the type of intruder present. Finally, farmers and forest officials are supplied with geo-locations and images of intrude. If the presence of animals is discovered after few seconds, strong repellents are used as a backup. As a result, the proposed technology successfully drives away animals without killing them and reduce human animal conflict as it does not require human participation.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC55036.2022.9848808","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
Crop Vandalization due to animals is becoming area of concern nowadays. When an animal enters the land, farmers lose their crops, properties, livestock. It is eroding the time and efforts of farmers. They also get affected economically due to loss of crops. Conflicts between humans and animals keep putting lives in danger. Methods like electrocution causes intense pain to animals, sometimes leading to their death. An effective system for preventing animal intrusion is more and more necessary. Regarding to this problem we implement a system to provide a real time visibility of farmlands which is perfect and adaptive. Surveillance of farmlands is carried out and when animals are encountered, they are categorized using YOLO algorithm and corrective actions are made depending on the type of intruder present. Finally, farmers and forest officials are supplied with geo-locations and images of intrude. If the presence of animals is discovered after few seconds, strong repellents are used as a backup. As a result, the proposed technology successfully drives away animals without killing them and reduce human animal conflict as it does not require human participation.