NCBI PubMed Central
open access
Remote sensing data and machine learning models estimate sorghum grain yield in a plant breeding program.
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
- Sorghum productivity, organic carbon and selected soil quality parameters under sorghum-based climate smart agriculture on sandy soils under semiarid and sub-humid rainfed conditions in South Africa.#437692
- HOPE Project - Farmer Field Trials at Solapur -Followup data for Phule Chitra, Phule Anuradha, Phule Vasudha varieties of Sorghum for the season 2010-11 and 2011-12#931794
- Starches From Cold‐Climate Adapted Sorghums: Their Properties and Implications for Food Systems#178116
- Assessment of cold tolerance in early field emergence in sweet, fiber, and grain sorghums [Sorghum bicolor (L.) Moench].#1080864
- Impacts of Climate Change and Adaptation Strategies on Maize Yield in Kenya and Northwest China#784544
Record · ID 330952
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