Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/32768
Title: | Farm management information systems as tools for revealing management zones inside the fields | Authors: | Marko, Oskar Brdar, Sanja Panić, Marko Minić, Vladan Pejak, Branislav Crnojević, Vladimir |
Keywords: | drones; precision agriculture; image processing; machine learning | Issue Date: | Jun-2022 | Conference: | Book of abstracts, SoilAgroIT 2022, Novi Sad, Serbia, June 16-17 | Abstract: | There is a huge need to increase the productivity in agriculture to feed the world’s growing population. However, this increase needs to be achieved in a sustainable way, without jeopardising the ecosystem and environment. Innovations in AgTech are accelerating this process and providing adequate solutions for optimisation of on-field decision-making, but they are often isolated and inaccessible to the farmers. The objective of our work was to design a comprehensive farm management system that takes scientific achievements and enables farmers to use them in their daily operations. | URI: | https://open.uns.ac.rs/handle/123456789/32768 | ISBN: | 978-86-7520-556-2 | DOI: | 10.5281/zenodo.7948400 |
Appears in Collections: | IBS Publikacije/Publications |
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M34-2022-Farm management information systems as tools for revealing managment zones inside the fields.pdf | 119.93 kB | Adobe PDF | View/Open |
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