Adak, A.; Murray, S.C.; Božinović, S.; Lindsey, R.; Nakasagga, S.; Chatterjee, S.; Anderson, S.L., II; Wilde, S.
Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression. Remote Sens. 2021, 13, 2141.
https://doi.org/10.3390/rs13112141
AMA Style
Adak A, Murray SC, Božinović S, Lindsey R, Nakasagga S, Chatterjee S, Anderson SL II, Wilde S.
Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression. Remote Sensing. 2021; 13(11):2141.
https://doi.org/10.3390/rs13112141
Chicago/Turabian Style
Adak, Alper, Seth C Murray, Sofija Božinović, Regan Lindsey, Shakirah Nakasagga, Sumantra Chatterjee, Steven L. Anderson, II, and Scott Wilde.
2021. "Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression" Remote Sensing 13, no. 11: 2141.
https://doi.org/10.3390/rs13112141
APA Style
Adak, A., Murray, S. C., Božinović, S., Lindsey, R., Nakasagga, S., Chatterjee, S., Anderson, S. L., II, & Wilde, S.
(2021). Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression. Remote Sensing, 13(11), 2141.
https://doi.org/10.3390/rs13112141
