Nitrogen Estimation for Wheat Using UAV-Based and Satellite Multispectral Imagery, Topographic Metrics, Leaf Area Index, Plant Height, Soil Moisture, and Machine Learning Methods

Authors: Jody Yu, Jinfei Wang, Brigitte Leblon, Yang Song

Source: Nitrogen, Vol 3, Iss 1, Pp 1-25 (2021)

Subject Terms: Unmanned Aerial Vehicle (UAV), PlanetScope imagery, precision agriculture, nitrogen management, machine learning, Random Forests, Ecology, QH540-549.5

File Description: electronic resource

Relation: https://www.mdpi.com/2504-3129/3/1/1; https://doaj.org/toc/2504-3129

Access URL: https://doaj.org/article/08f81d93fece429a916d5e2102ba6363

Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn

Authors: Jody Yu, Jinfei Wang, Brigitte Leblon

Source: Remote Sensing, Vol 13, Iss 16, p 3105 (2021)

Subject Terms: Unmanned Aerial Vehicle (UAV), precision agriculture, nitrogen management, machine learning, Random Forests, canopy nitrogen weight, Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/13/16/3105; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/fa11b5d3533d45f18f9379d763dc023f