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Mohamed Saadeldin

8 papers hereh-index 562 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedExtracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset

3 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.CV2021

Semi-supervised dry herbage mass estimation using automatic data and synthetic images

Paul Albert, Mohamed Saadeldin, Badri Narayanan +5

Monitoring species-specific dry herbage biomass is an important aspect of pasture-based milk production systems. Being aware of the herbage biomass in the field enables farmers to…

cs.CV2021★ 3 cited

Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset

Badri Narayanan, Mohamed Saadeldin, Paul Albert +2

The dairy industry uses clover and grass as fodder for cows. Accurate estimation of grass and clover biomass yield enables smart decisions in optimizing fertilization and seeding d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.