Yield Estimation
Overview
Seed yield is the ultimate performance indicator in most crop breeding programs. Image-based phenotyping enables estimation of yield components—seed number, seed size distribution, seed weight proxies, and seed uniformity—long before manual harvest.
1. Predicting yield from reproductive-stage traits
2.Automated yield component extraction for breeding trials
3.Screening high-yielding germplasm
4.Quality grading and post-harvest analysis
5.Integrating seed phenotypes with genomic prediction
Recommended Solutions
High-Throughput Phenotyping System
- Time-series imaging to capture growth dynamics and biomass accumulation
- Multi-trait extraction (e.g., leaf area, fruit/pod size, plant architecture) for yield modeling
- Supports population-scale trials for genotype comparisons and prediction models
Gantry-based Phenotyping Platform
- Automated imaging of large plants or field-grown plots to monitor yield-related traits
- Enables linking temporal growth data with environmental conditions for yield prediction
Why Our System Fits This Application
Time-series imaging to monitor plant growth, biomass, and reproductive traits
Multi-trait extraction supporting accurate yield modeling at population scale
High-throughput capabilities for large-scale genotype comparisons
Integration of plant, flower, fruit, and seed data for comprehensive yield assessment
Standardized, objective data suitable for breeding programs and predictive analyses