Naslov
Modeling Agricultural Production Activities Using Weather and Soil Parameters

Autori
Kovacevic, Tomislav ; Mrcela, Lovre ; Mercep, Andro ; Kostanjcar, Zvonko

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Skup
43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)

Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
uncertainty ; production ; soil ; bayesmethods ; standards ; logistics ; fertilizers

Sažetak
Activities concerning agricultural production processes are highly influenced by weather and soil parameters. Such parameters determine when certain activities in the agricultural process should be carried out. For example, it is known that fertilization should be applied when humidity of the soil is appropriate for fertilizer to get worked into it, as too dry soil causes fertilizer to be washed away. Furthermore, pest and disease control is mostly affected by wind direction and speed, which may cause pesticide to be overly spread or concentrated in some spot on the field. There is well known expert knowledge about connection between those parameters and scheduling production process activities. However, expert knowledge can be enriched and automatized with data-driven models, which are relatively unknown due to lack of research in this field. We propose a Bayesian logistic regression model in order to predict probability of conducting field activities, based on weather and soil parameters. We have trained and validated our model on historical data which contains activities during potato production in Croatia and weather station measurements gathered from several fields over a period of one season.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA