Naslov
ADVANTAGES OF USING RGB AND THERMAL IMAGING CAMERAS IN FRUIT AND GRAPE PRODUCTION

Autori
Vrtodušić, Rea ; Stojanoski, Milana ; Antolković, Ana Marija ; Viduka, Antonio ; Fruk, Goran ; Petek, Marko ; Skendrović Babojelić, Martina ; Boskov, Đorđe ; Sotonica, Dunja

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

Izvornik
V Balkan Symposium on Fruit Growing / Skendrović Babojelić, Martina - Zagreb, 2023, 104-104

ISBN
978-953-8276-52-1

Skup
V Balkan Symposium on Fruit Growing

Mjesto i datum
Zagreb, Hrvatska, 18.06.2023. - 21.06.2023

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
vine ; apple ; fruit detection ; fruit quality ; water stress ; pests ; environment

Sažetak
With the development of modern technologies using different cameras, photographs can be used very effectively to assess and analyze the quality of plants. The aim of this research is to show the advantages of using digital RGB (red, green, blue) and thermal cameras in orchards and vineyards. Two experiments were conducted during the 2021 growing season, the first in three apple orchards (Croatia) and the second in one vineyard (Serbia). By analyzing and processing photos (11, 602) taken with an RGB camera (experiment 1 – apple orchards) using machine learning, the following recognition algorithms were obtained: apple scab detection rate is 65.08%, powdery mildew detection rate 49.16%, aphid detection rate 55 .08%, while it is high for a number of chemical elements, for example, nitrogen deficiency was determined, as much as 73.50%. The analysis and processing of photos (118) taken with a thermal imaging camera (experiment 2 - vineyard) where the vines were irrigated by the drop-by-drop method, we conclude: the average temperature of the vines during the growing season was 25.1°C, which indicates that the plants were not under water stress. However, the average temperature of the grass cover in the interrow space that was not directly irrigated was 39.4°C and was mostly above the air temperature, which indicates water stress of the lawn. Thermal imaging cameras provide data on the temperature of the plant cover, which is important for determining the water stress of the plants and setting the watering norm and the interval between watering for potential irrigation. While the RGB camera can predict the development of diseases and defects at an early stage, which improves fruit quality and increases yields. So we conclude that the use of the above equipment will contribute to successful and high quality production without negative impact on the environment.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne biotehničke znanosti

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