arXiv (All)
open access
Crop Yield Prediction Using Regression Models: A Comparative Evaluation of Model Performance
Reliable crop-yield prediction can support agricultural planning and resource allocation. This study evaluates five regression models for predicting crop yield from environmental, crop-related, and agricultural management variables. The dataset initially contained 1,000,000 observations and ten vari
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
- A Comparative Study of Test Procedures uses in Assessing the Forecasting Ability of Linear Models with Applications to Crop Yield Data#1276893
- Penerapan Metode Regresi Linier Berganda Untuk Memprediksi Panen Kelapa Sawit#1226184
- From rows to yields: how foundation models for tabular data simplify crop yield prediction.#295480
- Promoción de enfoques bioeconómicos basados en los bosques en favor de la alimentación y la agricultura sostenibles - COFO/2026/5#500197
- 7 CFR Part 1484 — Programs to Help Develop Foreign Markets for Agricultural Commodities#504597
Record · ID 1468626
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