Using Canopy Measurements to Predict Soybean Seed Yield
Predicting soybean [<i>Glycine max</i> (L.) Merr.] seed yield is of interest for crop producers to make important agronomic and economic decisions. Evaluating the soybean canopy across a range of common agronomic practices, using canopy measurements, provides a large inference for soybea...
Main Authors: | Peder K. Schmitz, Hans J. Kandel |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/16/3260 |
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