Remote sensing assessment of irrigation impact on vineyard water status
Аутори
Sotonica, DunjaCosic, Marija
Stričević, Ružica
Pajic, Milos
Vujadinović Mandić, Mirjam
Ivanović, Jelena
Željko, Dželetović
Lipovac, Aleksa
Остало (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The composition of grapes for wine production is intricately linked to the water status of
vineyards during the vegetative period, with water stress significantly impacting grape yield
and quality. Current vineyard water status monitoring primarily relies on a variety of soil
moisture sensors and remote thermal sensors. This study aims to present spatial vegetation
index values derived from a handheld multispectral camera, specifically the Plant-O-Meter
(POM), concerning diverse irrigation regimes within an organic vineyard near Belgrade,
Serbia. Conducted in 2022, a year-long experiment involved four recordings using POM during
different phenophases of the Panonia grape variety. POM utilizes a multispectral source
emitting pulse trains of various wavelengths for plant analysis. Three irrigation treatments were
applied based on the percentage of crop evapotranspiration (ETc): full irrigation (F - 100%
ETc), deficit irrigation (D - 50% ETc), and rainfed (R - 0% ETc), with irri...gation norms set at
30 mm for F and 15 mm for D. Soil moisture, measured through standard gravimetric and TDR
methods, exhibited the highest values in the F treatment and the lowest in the R treatment.
Vegetation indices NDVI (Normalized Difference Vegetation Index) and GNDVI (Green
Vegetation Index Normalized Difference) displayed varying values across treatments. NDVI
values were 0.68 (F), 0.74 (D), and 0.75 (R), while GNDVI values were 0.63 (F), 0.68 (D), and
0.70 (R). The results highlight the significant impact of irrigation regimes on soil moisture,
coupled with unexpected vegetation index values per treatment. The study concludes that the
Panonia grape variety demonstrates remarkable tolerance to water deficits, suggesting that
some irrigation events during the experiment were unnecessary for the specific terroir
conditions. However, considering the potential impacts of climate change, the obtained results
may undergo alterations in the future.
Кључне речи:
remote sensing / grapevine / irrigation regimes / vegetation indices / soil moistureИзвор:
XIII International Symposium on Agricultural Sciences AgroReS 2024 BOOK OF ABSTRACTS, 2024, 66-66URI
https://agrores.agro.unibl.org/wp-content/uploads/2024/05/Book-of-Abstracts-AgroReS-2024.pdfhttp://aspace.agrif.bg.ac.rs/handle/123456789/6963
Институција/група
Poljoprivredni fakultetTY - GEN AU - Sotonica, Dunja AU - Cosic, Marija AU - Stričević, Ružica AU - Pajic, Milos AU - Vujadinović Mandić, Mirjam AU - Ivanović, Jelena AU - Željko, Dželetović AU - Lipovac, Aleksa PY - 2024 UR - https://agrores.agro.unibl.org/wp-content/uploads/2024/05/Book-of-Abstracts-AgroReS-2024.pdf UR - http://aspace.agrif.bg.ac.rs/handle/123456789/6963 AB - The composition of grapes for wine production is intricately linked to the water status of vineyards during the vegetative period, with water stress significantly impacting grape yield and quality. Current vineyard water status monitoring primarily relies on a variety of soil moisture sensors and remote thermal sensors. This study aims to present spatial vegetation index values derived from a handheld multispectral camera, specifically the Plant-O-Meter (POM), concerning diverse irrigation regimes within an organic vineyard near Belgrade, Serbia. Conducted in 2022, a year-long experiment involved four recordings using POM during different phenophases of the Panonia grape variety. POM utilizes a multispectral source emitting pulse trains of various wavelengths for plant analysis. Three irrigation treatments were applied based on the percentage of crop evapotranspiration (ETc): full irrigation (F - 100% ETc), deficit irrigation (D - 50% ETc), and rainfed (R - 0% ETc), with irrigation norms set at 30 mm for F and 15 mm for D. Soil moisture, measured through standard gravimetric and TDR methods, exhibited the highest values in the F treatment and the lowest in the R treatment. Vegetation indices NDVI (Normalized Difference Vegetation Index) and GNDVI (Green Vegetation Index Normalized Difference) displayed varying values across treatments. NDVI values were 0.68 (F), 0.74 (D), and 0.75 (R), while GNDVI values were 0.63 (F), 0.68 (D), and 0.70 (R). The results highlight the significant impact of irrigation regimes on soil moisture, coupled with unexpected vegetation index values per treatment. The study concludes that the Panonia grape variety demonstrates remarkable tolerance to water deficits, suggesting that some irrigation events during the experiment were unnecessary for the specific terroir conditions. However, considering the potential impacts of climate change, the obtained results may undergo alterations in the future. T2 - XIII International Symposium on Agricultural Sciences AgroReS 2024 BOOK OF ABSTRACTS T1 - Remote sensing assessment of irrigation impact on vineyard water status EP - 66 SP - 66 UR - https://hdl.handle.net/21.15107/rcub_agrospace_6963 ER -
@misc{ author = "Sotonica, Dunja and Cosic, Marija and Stričević, Ružica and Pajic, Milos and Vujadinović Mandić, Mirjam and Ivanović, Jelena and Željko, Dželetović and Lipovac, Aleksa", year = "2024", abstract = "The composition of grapes for wine production is intricately linked to the water status of vineyards during the vegetative period, with water stress significantly impacting grape yield and quality. Current vineyard water status monitoring primarily relies on a variety of soil moisture sensors and remote thermal sensors. This study aims to present spatial vegetation index values derived from a handheld multispectral camera, specifically the Plant-O-Meter (POM), concerning diverse irrigation regimes within an organic vineyard near Belgrade, Serbia. Conducted in 2022, a year-long experiment involved four recordings using POM during different phenophases of the Panonia grape variety. POM utilizes a multispectral source emitting pulse trains of various wavelengths for plant analysis. Three irrigation treatments were applied based on the percentage of crop evapotranspiration (ETc): full irrigation (F - 100% ETc), deficit irrigation (D - 50% ETc), and rainfed (R - 0% ETc), with irrigation norms set at 30 mm for F and 15 mm for D. Soil moisture, measured through standard gravimetric and TDR methods, exhibited the highest values in the F treatment and the lowest in the R treatment. Vegetation indices NDVI (Normalized Difference Vegetation Index) and GNDVI (Green Vegetation Index Normalized Difference) displayed varying values across treatments. NDVI values were 0.68 (F), 0.74 (D), and 0.75 (R), while GNDVI values were 0.63 (F), 0.68 (D), and 0.70 (R). The results highlight the significant impact of irrigation regimes on soil moisture, coupled with unexpected vegetation index values per treatment. The study concludes that the Panonia grape variety demonstrates remarkable tolerance to water deficits, suggesting that some irrigation events during the experiment were unnecessary for the specific terroir conditions. However, considering the potential impacts of climate change, the obtained results may undergo alterations in the future.", journal = "XIII International Symposium on Agricultural Sciences AgroReS 2024 BOOK OF ABSTRACTS", title = "Remote sensing assessment of irrigation impact on vineyard water status", pages = "66-66", url = "https://hdl.handle.net/21.15107/rcub_agrospace_6963" }
Sotonica, D., Cosic, M., Stričević, R., Pajic, M., Vujadinović Mandić, M., Ivanović, J., Željko, D.,& Lipovac, A.. (2024). Remote sensing assessment of irrigation impact on vineyard water status. in XIII International Symposium on Agricultural Sciences AgroReS 2024 BOOK OF ABSTRACTS, 66-66. https://hdl.handle.net/21.15107/rcub_agrospace_6963
Sotonica D, Cosic M, Stričević R, Pajic M, Vujadinović Mandić M, Ivanović J, Željko D, Lipovac A. Remote sensing assessment of irrigation impact on vineyard water status. in XIII International Symposium on Agricultural Sciences AgroReS 2024 BOOK OF ABSTRACTS. 2024;:66-66. https://hdl.handle.net/21.15107/rcub_agrospace_6963 .
Sotonica, Dunja, Cosic, Marija, Stričević, Ružica, Pajic, Milos, Vujadinović Mandić, Mirjam, Ivanović, Jelena, Željko, Dželetović, Lipovac, Aleksa, "Remote sensing assessment of irrigation impact on vineyard water status" in XIII International Symposium on Agricultural Sciences AgroReS 2024 BOOK OF ABSTRACTS (2024):66-66, https://hdl.handle.net/21.15107/rcub_agrospace_6963 .