L. Radócz, Levente Sápi, Péter Zagyi, É. Horváth, A. Tamás
{"title":"利用遥感方法分析玉米黑穗病后期人工侵染的植株生理效应","authors":"L. Radócz, Levente Sápi, Péter Zagyi, É. Horváth, A. Tamás","doi":"10.34101/actaagrar/2/10367","DOIUrl":null,"url":null,"abstract":"In Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.","PeriodicalId":7365,"journal":{"name":"Acta Agraria Debreceniensis","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods\",\"authors\":\"L. Radócz, Levente Sápi, Péter Zagyi, É. Horváth, A. Tamás\",\"doi\":\"10.34101/actaagrar/2/10367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.\",\"PeriodicalId\":7365,\"journal\":{\"name\":\"Acta Agraria Debreceniensis\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Agraria Debreceniensis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34101/actaagrar/2/10367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Agraria Debreceniensis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34101/actaagrar/2/10367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods
In Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.
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