Data synthesis for crop variety evaluation. A review
Clicks: 264
ID: 260728
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
264 views
66 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #5 of 6 articles by views in agronomy for sustainable development
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Crop varieties should fulfill multiple requirements, including agronomic performance and product quality. Variety evaluations depend on data generated from field trials and sensory analyses, performed with different levels of participation from farmers and consumers. Such multi-faceted variety evalu …
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (38 words).
Try re-searching for a better abstract.
| Reference Key |
d2020agronomydata
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Brown D;Van den Bergh I;de Bruin S;Machida L;van Etten J;; |
| Journal | agronomy for sustainable development |
| Year | 2020 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.