Pregled bibliografske jedinice broj: 1205152
Proximal sensing and vegetation indices of wheat for predictive agriculture
Proximal sensing and vegetation indices of wheat for predictive agriculture // 45th Conference For Students Of Agriculture And Veterinary Medicine With International Participation - Proceedings book
Novi Sad, Srbija, 2021. str. 40-46 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Proximal sensing and vegetation indices of wheat for
predictive agriculture
Autori
Skendžić, Sandra ; Lemić, Darija ; Lazarević, Boris ; Lešić, Vinko ; Zovko, Monika
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
45th Conference For Students Of Agriculture And Veterinary Medicine With International Participation - Proceedings book
/ - , 2021, 40-46
Skup
5th Conference For Students Of Agriculture And Veterinary Medicine With International Participation
Mjesto i datum
Novi Sad, Srbija, 18.11.2021
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
climate change ; wheat ; multispectral imaging ; spectroradiometer ; prediction
Sažetak
Climate change will have the impact on wheat production, in the form of lower harvests, higher costs, and necessary deviation from traditional farming. Monitoring the wheat canopy using remote and proximal sensors during the growing season plays an important role in site-specific management decisions, but could also improve understanding of the abiotic and physiological processes that control plant N uptake, yield, and protein content. As automated sensors provide information on wheat development, we are exploring the hypothesis that proximal canopy reflectance data could define plant phenology in new ways throughout the season, allowing better prediction of crop yields and detection of plant stress caused by climate change parameters. Spectroradiometers and multispectral imaging are capable of measuring the spectral reflectance of plants, providing vegetation indices that are valuable for assessing the amount and condition of vegetation. This paper presents ongoing work on the use of a system to collect multispectral data on wheat development under different climatic conditions, artificially generated and modified in prototype climate chambers
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne tehničke znanosti, Poljoprivreda (agronomija), Interdisciplinarne biotehničke znanosti
POVEZANOST RADA
Projekti:
EK-EFRR-KK.05.1.1.02.0031 - Napredna i prediktivna poljoprivreda za otpornost klimatskim promjenama (AgroSPARC) (Lešić, Vinko; Zovko, Monika; Lemić, Darija; Orsag, Matko, EK - KK.05.1.1.02) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Vinko Lešić
(autor)
Monika Zovko
(autor)
Sandra Skendžić
(autor)
Boris Lazarević
(autor)
Darija Lemić
(autor)