חיפוש מתקדם
Bulanon, D.M., University of Florida, PO Box 110570, Gainesville, FL, United States
Burks, T.F., University of Florida, PO Box 110570, Gainesville, FL, United States
Alchanatis, V., ARO, Volcani Center, Bet Dagan, Israel
This paper presents a study of thermal imaging as a potential approach for improving citrus fruit detection. Citrus tree canopy was monitored on 24 hour cycles using a thermal infrared camera. Four different trees (region of interest) were observed on four separate days. Surface temperature of the fruit, ambient temperature and relative humidity were measured using a portable dew point meter. The acquired thermal images were corrected for fruit emissivity, which was determined to be 0.90, using the ambient temperature, the relative humidity and the reflected temperature. Fruit and canopy temperature profile demonstrated a relatively large temperature gradient, which occurred from afternoon until midnight, which was evident from the acquired thermal images of the canopy. The fruits were successfully segmented in the thermal images using image processing techniques during the time of the largest temperature difference, which suggests potential application of thermal imaging for citrus fruit detection. Alchanatis V., Cohen Y., Cohen S., Moller M., Meron M., Tsipris J., Orlov V., Naor A., Charit Z. 2006. Fusion of IR and Multispectral Images in the Visible Range for Empirical and Model Based Mapping of Crop Water Status. American Society of Agricultural and Biological Engineers, Paper no. 061171.
פותח על ידי קלירמאש פתרונות בע"מ -
הספר "אוצר וולקני"
אודות
תנאי שימוש
Analysis of the thermal temporal variation in the citrus canopy
1
Bulanon, D.M., University of Florida, PO Box 110570, Gainesville, FL, United States
Burks, T.F., University of Florida, PO Box 110570, Gainesville, FL, United States
Alchanatis, V., ARO, Volcani Center, Bet Dagan, Israel
Analysis of the thermal temporal variation in the citrus canopy
This paper presents a study of thermal imaging as a potential approach for improving citrus fruit detection. Citrus tree canopy was monitored on 24 hour cycles using a thermal infrared camera. Four different trees (region of interest) were observed on four separate days. Surface temperature of the fruit, ambient temperature and relative humidity were measured using a portable dew point meter. The acquired thermal images were corrected for fruit emissivity, which was determined to be 0.90, using the ambient temperature, the relative humidity and the reflected temperature. Fruit and canopy temperature profile demonstrated a relatively large temperature gradient, which occurred from afternoon until midnight, which was evident from the acquired thermal images of the canopy. The fruits were successfully segmented in the thermal images using image processing techniques during the time of the largest temperature difference, which suggests potential application of thermal imaging for citrus fruit detection. Alchanatis V., Cohen Y., Cohen S., Moller M., Meron M., Tsipris J., Orlov V., Naor A., Charit Z. 2006. Fusion of IR and Multispectral Images in the Visible Range for Empirical and Model Based Mapping of Crop Water Status. American Society of Agricultural and Biological Engineers, Paper no. 061171.
Scientific Publication
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