Chanev, Milen; Filchev, Lachezar; Bonchev, Bogdan and Valcheva, Darina (2022) APPLICATION OF VEGETATION INDEXES GENERATED BY UAV TO DETERMINE THE YIELD OF ORGANIC EINKORN (TRITICUM MONOCOCCUM L.). In: Mardirosqn, Garo and Getsov, Petar (Eds.) PROCEEDINGS SES 2022, pp. 211-215.
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Summary
The aim of the present study is to establish a group of vegetation indices generated from data obtained from an unmanned aerial vehicle for predicting the yields of einkorn grown in organic farming conditions. The experiment was conducted during the agriculture year 2020-2021 on a certified organic field located in the municipality of Parvomai, Plovdiv region.
| EPrint Type: | Conference paper, poster, etc. |
|---|---|
| Type of presentation: | Paper |
| Keywords: | UAV, vegetation indices, organic farming |
| Agrovoc keywords: | Language Value URI English uav UNSPECIFIED English vegetation indices UNSPECIFIED English Einkorn -> Triticum monococcum http://aims.fao.org/aos/agrovoc/c_7956 |
| Subjects: | Crop husbandry > Production systems > Cereals, pulses and oilseeds Crop husbandry > Crop health, quality, protection Knowledge management > Research methodology and philosophy |
| Research affiliation: | Bulgaria Bulgaria > Other institutions |
| ISSN: | e-ISSN 2603 – 3321 |
| Related Links: | http://space.bas.bg/SES/archive/SES%202022_DOKLADI/3_Remote%20Sensing/4_Chanev.pdf |
| Deposited By: | Chanev, Milen Rusev |
| ID Code: | 44692 |
| Deposited On: | 29 Nov 2022 06:46 |
| Last Modified: | 29 Nov 2022 06:46 |
| Document Language: | Bulgarian/български |
| Status: | Published |
| Refereed: | Peer-reviewed and accepted |
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