Boise State ScholarWorks
metadata only
A Machine Learning Approach to Estimating Agricultural Return Flows: A Case Study of the Twin Falls Canal Company in Idaho
Idaho is the third largest water user in the United States due to its extensive agriculture industry (Murray, 2018). Irrigation has allowed farmers to take advantage of the warm climate and rich soils of the Eastern Snake River Plain to develop one of the nation’s most productive agricultural region
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Assessing trends and forecasting meteorological drought in South Africa using Savitzky-Golay enhanced hybrid deep learning.#258450
- The effect of time scale on streamflow drought index estimation: A comparison of standalone and hybrid machine learning models at three stations#243446
- Predicting Groundwater Trading Participation in the Upper Republican River Natural Resource District#683404
- Drought, bank lending, and agricultural financial resilience#1158097
- Assessment of Conservation Management Practices on Water Quality and Observed Trends in the Plum Creek Basin, 2010–20#638228
Record · ID 1071582
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive