SBIR/STTR Research Award

Development Of A Smart Vision And AI-Driven Peach Thinning Software (A-EYE)

Award identifier 2195e7751bd023ef95a10429ba9ee42fb199d3e6c856df68c8b02740aa178988Awarding agency Department of Agriculture

Award amount

$174,021

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Agriculture
Branch
Not reported
Recipient company
ADVENT INNOVATIONS LTD CO
Proposal award date
2023-04-24
Contract end date
2024-02-29
UEI
HDXFHZTWJBU7
Solicitation number
USDA-NIFA-SBIR-009301
Topic code
8.13

Research abstract

Peach thinning is a major expense for peach farming operations accounting for 60% of the totalcost during annual maintenance. The commonly used bloom thinning methods include handchemical and mechanical thinning. Hand thinning and mechanical thinning are the most widelyused but these methods are labor intensive inaccurate and have no built-in intelligence to properlyguide the thinning process.Advent Innovations in collaboration with the University of South Carolina and Titan Farms inRidge Spring SC proposes to develop a Smart Vision and AI-driven Peach Thinning Software (A- EYE) for accurate and efficient thinning of peach blossoms. By implementing artificial intelligencethe A-EYE software will be capable of real time decision making for faster and more accuratethinning which is essential during the short thinning period available. Vision processing tools andadvanced machine learning techniques will be used to actively identify productive blooms bydetermining the bloom density and color distribution leading to significant time and cost savingsand increased fruit size and profitability of an orchard. Unlike other purely data-driven AImethodologies the proposed A-EYE software will uniquely utilize organic information such ashuman knowledgebase and experiences along with the thinning requirements practiced by peachfarms. The software will be designed to utilize a digital database Advent Digi-Farm that Advent isalready developing for Titan Farms. This AI-driven visual processing unit will be integrated with aportable device (tablet laptop etc.) to guide the thinning process in real time.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

11 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $2,800,225. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Transportation, Department of Energy, Department of Defense, Department of Agriculture

Agency intelligence

Department of Agriculture

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