Chanev, Milen and Filchev, Lachezar (2023) Review of the Applications of Satellite Remote Sensing in Organic Farming (Part I). Aerospace Research in Bulgaria., 35, pp. 183-191.
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Document available online at: http://journal.space.bas.bg/arhiv/n%2035/Articles/18_Chanev.pdf
Summary in the original language of the document
Organic farming is a much more sustainable farming system than conventional farming. It is part of humanity's efforts to preserve biodiversity and provides healthy and safe food to humans. Remote sensing methods are widely used in agriculture. Their use will help the transition from conventional to organic farming. They can help farmers choose the most suitable place to build an organic farm. Remote sensing methods are a very powerful tool for weed control in organic farming. They can be used to determine the level of stress that crops experience. They provide a good opportunity to forecast yields on organic farms. Remote sensing methods can optimize fertilization on organic farms. They can be used to distinguish between organic and conventional agriculture, as well as to monitor biodiversity in agricultural areas. Remote sensing methods can help organic farmers make timely and adequate decisions in managing their farms.
EPrint Type: | Journal paper |
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Keywords: | Remote Sensing, Satellite data, Precision farming, Organic farming |
Agrovoc keywords: | Language Value URI English remote sensing http://aims.fao.org/aos/agrovoc/c_6498 English satellite data UNSPECIFIED English precision farming -> precision agriculture http://aims.fao.org/aos/agrovoc/c_92363 English organic farming -> organic agriculture http://aims.fao.org/aos/agrovoc/c_15911 |
Subjects: | "Organics" in general Farming Systems Animal husbandry Crop husbandry Values, standards and certification Food systems Environmental aspects Knowledge management |
Research affiliation: | Bulgaria Bulgaria > Other institutions Bulgaria |
ISSN: | 1313 - 0927 |
DOI: | 10.3897/arb.v35.e18 |
Deposited By: | Chanev, Milen Rusev |
ID Code: | 46111 |
Deposited On: | 21 May 2023 15:28 |
Last Modified: | 21 May 2023 15:28 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
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