Articles
Advantages of using RGB and thermal imaging cameras in fruit and grape production
Article number
1449_69
Pages
517 – 524
Language
English
Abstract
With the development of modern technologies using different cameras, photographs can be used very effectively to assess and analyze the health status of plants.
The aim of this study is to show the advantages of using digital RGB (red, green, blue) and thermal cameras in orchards and vineyards.
Two types of study 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 (11602) taken with an RGB camera (study 1 NDASH apple orchards) using machine learning, the following recognition algorithms were obtained: apple scab detection rate 65.08%, powdery mildew detection rate 49.16%, aphid detection rate 55 0.08%. 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 118 photos taken with a thermal imaging camera (study 2 NDASH vineyard), where the vines were irrigated using the drop-by-drop method, indicate that the average temperature of the vines during the growing season was 25.1°C, suggesting 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.
The use of the above equipment is concluded to contribute to successful and high-quality production without negatively impacting the environment.
The aim of this study is to show the advantages of using digital RGB (red, green, blue) and thermal cameras in orchards and vineyards.
Two types of study 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 (11602) taken with an RGB camera (study 1 NDASH apple orchards) using machine learning, the following recognition algorithms were obtained: apple scab detection rate 65.08%, powdery mildew detection rate 49.16%, aphid detection rate 55 0.08%. 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 118 photos taken with a thermal imaging camera (study 2 NDASH vineyard), where the vines were irrigated using the drop-by-drop method, indicate that the average temperature of the vines during the growing season was 25.1°C, suggesting 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.
The use of the above equipment is concluded to contribute to successful and high-quality production without negatively impacting the environment.
Publication
Authors
R. Vrtoduić, M. Stojanoski, A.M. Antolković, A. Viduka, G. Fruk, M. Petek, M. Skendrović Babojelić, Đ. Bokov, D. Sotonica
Keywords
apple, environment, fruit detection, fruit quality, pests, vine, water stress
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