Y. Turkar, C. Aluckal, Y. Dighe, S. Deshpande, Y. Agarwadkar
{"title":"基于无人机的精准园艺航路点生成概念","authors":"Y. Turkar, C. Aluckal, Y. Dighe, S. Deshpande, Y. Agarwadkar","doi":"10.1109/InGARSS48198.2020.9358973","DOIUrl":null,"url":null,"abstract":"In the recent past, precision agriculture has proven to be an effective means for farmers to optimize productions by reducing efforts and losses. Usage of UAV has proven to be beneficial for large scale agriculture. The applications of UAV in small scale agriculture and horticulture has certain limitations due to the scale and elevation variations. The current paper aims at conceptualizing a novel remote sensing-based framework for optimizing spraying locations and heights for horticulture. The data used constitutes of DEM and visual images captured from UAV platform. The paper also covers a small use-case for coconut tree plantation for implementation and validation. The results suggest that implementation of such algorithm may help in reducing wastage of spraying chemicals and in-turn will reduce adverse environmental impacts of spraying. Further integrating current work with UAV systems for optimization of path will improve UAV efficiency.","PeriodicalId":6797,"journal":{"name":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","volume":"438 1","pages":"150-153"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conceptualization of Uav Based Waypoint Generation for Precision Horticulture\",\"authors\":\"Y. Turkar, C. Aluckal, Y. Dighe, S. Deshpande, Y. Agarwadkar\",\"doi\":\"10.1109/InGARSS48198.2020.9358973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the recent past, precision agriculture has proven to be an effective means for farmers to optimize productions by reducing efforts and losses. Usage of UAV has proven to be beneficial for large scale agriculture. The applications of UAV in small scale agriculture and horticulture has certain limitations due to the scale and elevation variations. The current paper aims at conceptualizing a novel remote sensing-based framework for optimizing spraying locations and heights for horticulture. The data used constitutes of DEM and visual images captured from UAV platform. The paper also covers a small use-case for coconut tree plantation for implementation and validation. The results suggest that implementation of such algorithm may help in reducing wastage of spraying chemicals and in-turn will reduce adverse environmental impacts of spraying. Further integrating current work with UAV systems for optimization of path will improve UAV efficiency.\",\"PeriodicalId\":6797,\"journal\":{\"name\":\"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)\",\"volume\":\"438 1\",\"pages\":\"150-153\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/InGARSS48198.2020.9358973\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InGARSS48198.2020.9358973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conceptualization of Uav Based Waypoint Generation for Precision Horticulture
In the recent past, precision agriculture has proven to be an effective means for farmers to optimize productions by reducing efforts and losses. Usage of UAV has proven to be beneficial for large scale agriculture. The applications of UAV in small scale agriculture and horticulture has certain limitations due to the scale and elevation variations. The current paper aims at conceptualizing a novel remote sensing-based framework for optimizing spraying locations and heights for horticulture. The data used constitutes of DEM and visual images captured from UAV platform. The paper also covers a small use-case for coconut tree plantation for implementation and validation. The results suggest that implementation of such algorithm may help in reducing wastage of spraying chemicals and in-turn will reduce adverse environmental impacts of spraying. Further integrating current work with UAV systems for optimization of path will improve UAV efficiency.