CEHD: A Unified Framework for Detection and Height Estimation of Fresh Corn Ears in Field Conditions

Hengyi Wang, Yang Li, Jun Fu, Qiankun Fu, Yongliang Qiao · 2025

Read CEHD: A Unified Framework for Detection and Height Estimation of Fresh Corn Ears in Field Conditions by Hengyi Wang, Yang Li, Jun Fu, Qiankun Fu, Yongliang Qiao (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12787888.txt.

Description

Hengyi Wang and co-authors build a field system that spots corn ears and gauges their height in a 2025 study. Ear height tells harvesters where to set their heads, which cuts crop harm. Their frame, CEHD, pairs a tuned sight net with depth data. Fresh parts in the net hush backdrops, widen context sense, and sharpen box scores. A track part then keeps each ear in view as the rig moves.

Depth reads weed out false zones and firm the grades. Field tests gave a mean miss of just 3.21 centimeters, with tight spread. The track part holds ear tags through shake and pass moves. The authors pitch the rig for live head control on fresh corn harvesters.

Catalog record

CREATORHengyi Wang, Yang Li, Jun Fu, Qiankun Fu, Yongliang Qiao
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE57 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12787888

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