Canopy Fluorescence Sensing for In-Season Maize Nitrogen Status Diagnosis
نویسندگان
چکیده
Accurate assessment of crop nitrogen (N) status and understanding the N demand are considered essential in precision management. Chlorophyll fluorescence is unsusceptible to confounding signals from underlying bare soil closely related plant photosynthetic activity. Therefore, sensing a promising technology for monitoring status, even at an early growth stage. The objectives this study were evaluate potential using Multiplex® 3, proximal canopy sensor, detect variability quantitatively estimate indicators four key stages maize. sensor measurements performed different stages, three regression methods compared concentration (PNC), uptake (PNU), nutrition index (NNI). results indicated that induced differences maize detectable as V6 first method based on simple (SR) Multiplex indices normalized by growing degree days (GDD) or sufficiency (NSI) achieved acceptable estimation accuracy (R2 = 0.73–0.87), showing good estimation. second multiple linear (MLR), GDDs had lowest modeling 0.46–0.79). third tested used non-linear approach form random forest (RFR) GDDs. This best 0.84–0.93) most accurate diagnostic result.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13245141