SBIR-STTR Award

Bulls are a major contributing factor to the reproductive efficiency and economic viability of beef businesses. However current speriograms are incomplete subjective and unreliable with not system for bull buyers to easily access results. Sperm morphology is a critical component of fertility evaluation during a breeding soundness examination. Using computer vision artificial intelligence we will create a chute side semen analysis tool that will create an objective complete differential spermiogram with consistent accuracy unmatched by humans. This chute side diagnostic tool will remove the subjective nature of semen analysis. Veterinarians will have the ability to quickly and accurately assess the breeding potential of bulls. Accompanying apps will help cow-calf producers understand bull testing results and better manage herd fertility. Accurate consistent results will be assured through defined processes careful selection of microscopic equipment reliable image data and deep machine learning technologies. Veterinarians can use this semen evaluation tool chute side for accurate quick results while reforming bull breeding soundness exams. Cow-calf producers will realize improved profits from increased reproductive efficiency by using bulls with higher potential for high fertility. The beef industry can realize up to $1.2 billion from improved production for improved sustainability.