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Decision support tool allowing farmers to calculate the economic benefit of specific seed variety

Geographical scope
European Union
Keywords
seed mix
Plant production and horticulture
Farming equipment and machinery
This is the problem: 

Poljoprivrednici najčešće prate savete dobijene od dobavljača semena ili nekog drugog relevantnog izvora. Ipak, svi saveti su zasnovani samo na iskustvima. Uz nove tehnologije (koristeći mašinsko učenje), poljoprivrednici će dobiti savet koje seme treba koristiti u narednoj poljoprivrednoj sezoni. Da bi to uradili, istraživači će morati prikupiti istorijske podatke o usevima (prinos po sezoni), cene, varijabilnost cena; sistem će  hraniti podacima o potrebnim aktivnostima po parcelama (radno i poslovno vreme), rotiranju useva i procena potražnje. Ishod će biti gotov savet o usevima i sorti semena koje treba koristiti kako bi se postigli određeni (unapred definisani) prinosi.

This is the problem (summary in English): 

Farmers are used to follow advices from seed suppliers or some other relevant source. Nevertheless, all these advices are just experience-based. With new technology (using machine learning), farmers will receive an advice which seeds should they use in the following agricultural season. In order to do so, researchers will need to gather historical data on crops (yields per season), prices, price volatility; to feed the system with data regarding needed activities per parcel (human and machine working hours), crop rotation and demand estimation. The outcome will be ready-to-use advice on crops and seed variety that needs to be followed in order to have certain (in advance defined) yields.

Additional information: 
This system will be developed based on information form Serbia. Once developed, this system will be able to replicate to any other country (the only input will be relevant data for that area).
Contact person
Name: 
Trajkovic
Surname: 
Milica
Spoken languages: 
English
Contact person by email
Post date: 
Thu, 19/07/2018