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RSS FeedsRemote Sensing, Vol. 14, Pages 4814: A New Approach for Nitrogen Status Monitoring in Potato Plants by Combining RGB Images and SPAD Measurements (Remote Sensing)

 
 

27 september 2022 11:20:30

 
Remote Sensing, Vol. 14, Pages 4814: A New Approach for Nitrogen Status Monitoring in Potato Plants by Combining RGB Images and SPAD Measurements (Remote Sensing)
 


Precise nitrogen (N) application ensures the best N status of potato plants to improve crop growth and food quality and to achieve the best N use efficiency. Four N fertilization levels (0, 2, 4 and 6 g N pot−1) were used to establish a critical N dilution curve (CNDC) of potato plants cultivated in substrates with a greenhouse environment. RGB images of potato plants were obtained, and a red–green fit index (RGFI) was calculated based on the linear relationship between R and G channels and the principle of the excess green index (EXG). The N in the substrate can meet the nutritional requirements of potato plants during the first 35 days after emergence. In order to solve the complex sampling problem of maintaining a sufficient N strip for aboveground dry biomass (DM) and crop nitrogen concentration, a reference curve method for detecting N status was proposed. RGFI and SPAD values from the economically optimum 4 g N pot−1 treatment were used to derive the reference curve. The RGFI and SPAD values from the 4 g N pot−1 treatment had high correlations and were fitted with a second-order polynomial function with an R2 value of 0.860 and an RMSE value of 2.10. The validation results show that the N concentration dilution curve constructed by RGFI and SPAD values can effectively distinguish N-limiting from non-N-limiting treatments, CNDCs constructed based on RGFI and SPAD values could be used as an effective N status monitoring tool for greenhouse potato production.


 
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Remote Sensing, Vol. 14, Pages 4811: Time Series Analysis-Based Long-Term Onboard Radiometric Calibration Coefficient Correction and Validation for the HY-1C Satellite Calibration Spectrometer (Remote Sensing)
Remote Sensing, Vol. 14, Pages 4815: Cloud Contaminated Multispectral Remote Sensing Image Enhancement Algorithm Based on MobileNet (Remote Sensing)
 
 
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