Lesly Valentina Galeano Cañón, M. Rodriguez, Neil Andrés Jiménez Pinzón, R. Ortega Ortega
{"title":"Drones in Agriculture 4.0","authors":"Lesly Valentina Galeano Cañón, M. Rodriguez, Neil Andrés Jiménez Pinzón, R. Ortega Ortega","doi":"10.16925/2357-6014.2023.02.05","DOIUrl":null,"url":null,"abstract":"The article is the product of the \"Drones in agriculture 4.0\" project, drone technology allows strengthening the development of different processes, especially agriculture, for this reason an investigation is carried out in order to use a drone that allows identifying the different pests that affect forages (grass crops). For the development of the research project, there will be different phases such as the process of review and exploration of technology, verification and selection of image processing algorithms and development of a database and interface according to the collection of information, the Waterfall methodology is applied. . In the first phase, work has been done on the state of the art of the different investigations that have been carried out over the years with the use of drones in agriculture, from a national and international level. In addition, in general, the information that has been collected in the different field practices by the drone in the experimental farm El Tibar of the University of Cundinamarca Sectional Ubaté and the Naranjitos de Guachetá farm is presented. Taking into account the above, the results obtained from this first phase are presented by analyzing the photographic evidence of the different effects that pests carry out on forages.","PeriodicalId":41023,"journal":{"name":"Ingenieria Solidaria","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ingenieria Solidaria","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16925/2357-6014.2023.02.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The article is the product of the "Drones in agriculture 4.0" project, drone technology allows strengthening the development of different processes, especially agriculture, for this reason an investigation is carried out in order to use a drone that allows identifying the different pests that affect forages (grass crops). For the development of the research project, there will be different phases such as the process of review and exploration of technology, verification and selection of image processing algorithms and development of a database and interface according to the collection of information, the Waterfall methodology is applied. . In the first phase, work has been done on the state of the art of the different investigations that have been carried out over the years with the use of drones in agriculture, from a national and international level. In addition, in general, the information that has been collected in the different field practices by the drone in the experimental farm El Tibar of the University of Cundinamarca Sectional Ubaté and the Naranjitos de Guachetá farm is presented. Taking into account the above, the results obtained from this first phase are presented by analyzing the photographic evidence of the different effects that pests carry out on forages.
本文是“农业无人机4.0”项目的产品,无人机技术可以加强不同过程的发展,特别是农业,因此进行了一项调查,以便使用无人机识别影响牧草(牧草作物)的不同害虫。对于研究项目的发展,将会有不同的阶段,如技术的审查和探索,验证和选择图像处理算法的过程,并根据收集的信息开发一个数据库和接口,应用瀑布方法。在第一阶段,已经完成了多年来在国家和国际层面上对农业中使用无人机进行的不同调查的最新进展。此外,总体上介绍了无人机在Cundinamarca剖面ubat大学El Tibar实验农场和Naranjitos de guachet农场的不同田间实践中收集的信息。考虑到上述情况,通过分析害虫对牧草的不同影响的照片证据,提出了第一阶段的结果。