Abstract
Abstract. Cultivation management adapted to various environmental changes has been required under changing climate, hence it is necessary to monitor the growth status efficiently. Photosynthesis in crop production is the essential process in crop growth model for forecasting the yield. In this study, we focused on light environment and LAI as important factors in photosynthesis, and conducted the observations to obtain time-series RGB images taken by digital cameras fixed on tower and mounted on UAV in the paddy field and to measure PPFDs at the top (I0) and the bottom (I) of rice canopy during planted period. Three kinds of vegetation color indices (CIs), vegetation coverage (VC) and plant height (PH) derived by processing RGB images were compared with relative PPFD (I/I0) and LAI calculated from relative PPFD. As the results, CIs and VC were basically expressed linear relations with relative PPFD and PH showed the exponential relation with relative PPFD and the linear relation with LAI respectively. Through this study, we clarified that VC and PH would be effective parameters for spatio-temporal monitoring of light environment and LAI.
Highlights
Abnormal and extreme weather conditions have significantly changed the growth environment during the growing process of crops, and have a significant effect on stable crop production
Cultivation management adapted to various environmental changes under changing climate is required more than ever, and it is indispensable to monitor the growth status of crops and predict the yield
We focus on the light environment and leaf area index (LAI) in rice community at the field scale in order to develop the spatiotemporal model of crop canopy photosynthesis in near future
Summary
Abnormal and extreme weather conditions have significantly changed the growth environment during the growing process of crops, and have a significant effect on stable crop production. Cultivation management adapted to various environmental changes under changing climate is required more than ever, and it is indispensable to monitor the growth status of crops and predict the yield. Photosynthesis in crop production is one of the essential process in crop growth model and forecasting the yield. It is difficult to measure leaf area index (LAI) and the light environment within the canopy, which are important factors in canopy photosynthetic model, continuously and spatially. Since the crop growth situations has been affected by the cultivation environment, especially the weather, it is need to observe them continuously and efficiently at short intervals
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