Abhinav Kumar, Ankita H. Harkare, B. Neole, Vaishnavi Ghatole
{"title":"使用超声波换能器的有害生物排斥系统","authors":"Abhinav Kumar, Ankita H. Harkare, B. Neole, Vaishnavi Ghatole","doi":"10.1109/PCEMS58491.2023.10136034","DOIUrl":null,"url":null,"abstract":"Agriculture sector is the backbone of the Indian Economy. As per the Centre for Monitoring Indian Economy (CMIE) data, it holds a 38 % share in total employment of the country’s workforce. Attacks on crops by animals, locust swarms, and other noxious beings severely affect the livelihood of many. Locally used methods to deal with such attacks involve the use of chemical spraying, electric fencing, loudspeakers, etc. Over time they have proven to be inefficiently unfavorable for the yield quality and ecosystem and require a lot of human intervention. This paper presents a repulsion system that emits ultrasonic waves to prevent pre-empted attacks on farms by noxious beings. It employs sensor nodes throughout the farm, which are built by an Atmega-2560 microprocessor with an externally connected Wi-Fi module and ultrasonic sensors together to interact in an Internet of Things arrangement. This is a cost-effective way of repelling the noxious species with minimum human error since the system is capable of functioning autonomously. This system will benefit farmers and lessen crop devastation.","PeriodicalId":330870,"journal":{"name":"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"100 9-10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Noxious beings Repulsion System Using Ultrasonic Transducers\",\"authors\":\"Abhinav Kumar, Ankita H. Harkare, B. Neole, Vaishnavi Ghatole\",\"doi\":\"10.1109/PCEMS58491.2023.10136034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agriculture sector is the backbone of the Indian Economy. As per the Centre for Monitoring Indian Economy (CMIE) data, it holds a 38 % share in total employment of the country’s workforce. Attacks on crops by animals, locust swarms, and other noxious beings severely affect the livelihood of many. Locally used methods to deal with such attacks involve the use of chemical spraying, electric fencing, loudspeakers, etc. Over time they have proven to be inefficiently unfavorable for the yield quality and ecosystem and require a lot of human intervention. This paper presents a repulsion system that emits ultrasonic waves to prevent pre-empted attacks on farms by noxious beings. It employs sensor nodes throughout the farm, which are built by an Atmega-2560 microprocessor with an externally connected Wi-Fi module and ultrasonic sensors together to interact in an Internet of Things arrangement. This is a cost-effective way of repelling the noxious species with minimum human error since the system is capable of functioning autonomously. This system will benefit farmers and lessen crop devastation.\",\"PeriodicalId\":330870,\"journal\":{\"name\":\"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)\",\"volume\":\"100 9-10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCEMS58491.2023.10136034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCEMS58491.2023.10136034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noxious beings Repulsion System Using Ultrasonic Transducers
Agriculture sector is the backbone of the Indian Economy. As per the Centre for Monitoring Indian Economy (CMIE) data, it holds a 38 % share in total employment of the country’s workforce. Attacks on crops by animals, locust swarms, and other noxious beings severely affect the livelihood of many. Locally used methods to deal with such attacks involve the use of chemical spraying, electric fencing, loudspeakers, etc. Over time they have proven to be inefficiently unfavorable for the yield quality and ecosystem and require a lot of human intervention. This paper presents a repulsion system that emits ultrasonic waves to prevent pre-empted attacks on farms by noxious beings. It employs sensor nodes throughout the farm, which are built by an Atmega-2560 microprocessor with an externally connected Wi-Fi module and ultrasonic sensors together to interact in an Internet of Things arrangement. This is a cost-effective way of repelling the noxious species with minimum human error since the system is capable of functioning autonomously. This system will benefit farmers and lessen crop devastation.