| Abstrakt: |
In developing countries, about 70% of fresh water resources are used in agriculture. Therefore, water use efficiency should be improved, and water-saving technologies should be used in irrigations. As it was in several sectors, remote sensing technologies have started to be used in agriculture together with developing technologies. In this study, the treatments considered were irrigation to cover the 100% of the crop water needs and 5 deficit irrigation treatments that reduced the full irrigation to 80%, 60%, 40%, 20%, and 0% crop water needs, were used to irrigate pumpkin seed plants and correlations of 9 different spectral vegetation indices (SR, WI, SAVI, NDVI, OSAVI, MCARI, GNDVI, NPCI, and EVI) with seed yield, leaf area index (LAI), leaf water potential (LWP), oil, protein, and chlorophyll contents were determined. Field experiments were conducted for 2 years. In both years, significant correlations of vegetation indices with yield, LAI, LWP, protein, oil, and chlorophyll contents were observed. Present findings revealed that vegetation indices could be useful for estimating yield and quality attributes of pumpkin seed plant and in irrigation scheduling accordingly. [ABSTRACT FROM AUTHOR] |
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