A Geospatial Assessment of Crop Rotation and Soil Properties for Rice Systems

45 Pages Posted: 11 Feb 2023

See all articles by Luke Salvato

Luke Salvato

affiliation not provided to SSRN

Cameron Pittelkow

affiliation not provided to SSRN

Toby O'Geen

University of California, Davis

Bruce A. Linquist

affiliation not provided to SSRN

Abstract

Highlights• Satellite derived land cover data and soil survey information was used in a machine learning framework to assess the soil properties of continuous rice fields and rotated rice fields in California.• The region has a high diversity of crop types but rotation with rice occurs in a limited portion.• Soil properties such as alkalinity, salinity, and saturated hydraulic conductivity may limit the feasibility of expanding crop rotations to increase agroecological diversity in this region.

Keywords: crop rotation, soil properties, random forest model, agroecological diversification, sustainability, rice systems

Suggested Citation

Salvato, Luke and Pittelkow, Cameron and O'Geen, Toby and Linquist, Bruce A., A Geospatial Assessment of Crop Rotation and Soil Properties for Rice Systems. Available at SSRN: https://ssrn.com/abstract=4354774 or http://dx.doi.org/10.2139/ssrn.4354774

Luke Salvato (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Cameron Pittelkow

affiliation not provided to SSRN ( email )

No Address Available

Toby O'Geen

University of California, Davis ( email )

One Shields Avenue
Apt 153
Davis, CA 95616
United States

Bruce A. Linquist

affiliation not provided to SSRN ( email )

No Address Available

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
48
Abstract Views
231
PlumX Metrics