{"title":"基于物联网的创新灌溉,采用自适应布谷鸟搜索算法与最先进的滴灌进行比较,实现高效灌溉","authors":"P. Jahnavi, P. Kalyanasundaram","doi":"10.1109/ICTACS56270.2022.9987981","DOIUrl":null,"url":null,"abstract":"The main objective of the system is to fabricate a Smart irrigation system which will operate on wireless control to provide sufficient water to the crops, which is automatic and helps in saving water. Comparing the efficiency of silt soil and peat soil using a Cuckoo search algorithm. Materials and method: The groups are taken into account. Group 1 is silt soil and Group 2 is considered with peat soil. A total of 20 samples are taken from 2 groups. G-power is used for analyzing with 985% confidence level, error rate of 0.95. The considered threshold is 0.05. The Significance is observed to be P > 0.05. Result: Comparing silt soil and peat soil, which soil is suitable for horticulture and which among those soils can maintain low% of moisture. Therefore, the Cuckoo Search algorithm offers a minimum percentage of moisture content Conclusion: In the case of horticulture, Silt soil appears to be better than Peat soil. Traditional issues in the horticulture system are overcome by adaptive Cuckoo search algorithms.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"IOT based Innovative Irrigation using Adaptive Cuckoo Search Algorithm comparison with the State of Art Drip Irrigation to attain Efficient Irrigation\",\"authors\":\"P. Jahnavi, P. Kalyanasundaram\",\"doi\":\"10.1109/ICTACS56270.2022.9987981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main objective of the system is to fabricate a Smart irrigation system which will operate on wireless control to provide sufficient water to the crops, which is automatic and helps in saving water. Comparing the efficiency of silt soil and peat soil using a Cuckoo search algorithm. Materials and method: The groups are taken into account. Group 1 is silt soil and Group 2 is considered with peat soil. A total of 20 samples are taken from 2 groups. G-power is used for analyzing with 985% confidence level, error rate of 0.95. The considered threshold is 0.05. The Significance is observed to be P > 0.05. Result: Comparing silt soil and peat soil, which soil is suitable for horticulture and which among those soils can maintain low% of moisture. Therefore, the Cuckoo Search algorithm offers a minimum percentage of moisture content Conclusion: In the case of horticulture, Silt soil appears to be better than Peat soil. Traditional issues in the horticulture system are overcome by adaptive Cuckoo search algorithms.\",\"PeriodicalId\":385163,\"journal\":{\"name\":\"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTACS56270.2022.9987981\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9987981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IOT based Innovative Irrigation using Adaptive Cuckoo Search Algorithm comparison with the State of Art Drip Irrigation to attain Efficient Irrigation
The main objective of the system is to fabricate a Smart irrigation system which will operate on wireless control to provide sufficient water to the crops, which is automatic and helps in saving water. Comparing the efficiency of silt soil and peat soil using a Cuckoo search algorithm. Materials and method: The groups are taken into account. Group 1 is silt soil and Group 2 is considered with peat soil. A total of 20 samples are taken from 2 groups. G-power is used for analyzing with 985% confidence level, error rate of 0.95. The considered threshold is 0.05. The Significance is observed to be P > 0.05. Result: Comparing silt soil and peat soil, which soil is suitable for horticulture and which among those soils can maintain low% of moisture. Therefore, the Cuckoo Search algorithm offers a minimum percentage of moisture content Conclusion: In the case of horticulture, Silt soil appears to be better than Peat soil. Traditional issues in the horticulture system are overcome by adaptive Cuckoo search algorithms.