Harvest CROO, LLC recently secured a major technological breakthrough with the issuance of U.S. Patent No. 12727542. This patent, titled ‘Automated harvesting of crops’, introduces a powerful way to efficiently harvest delicate specialty crops. The automated system, developed by inventors Robert Pitzer and Scott Gordon Scarpinato, utilizes robotics and precise vision technology to identify and pick ripe fruit without causing damage.
Advanced Robotics for Agricultural Efficiency
The innovation focuses on a comprehensive harvesting vehicle equipped with a specialized pick deck and multiple independently operating robots. This system uses advanced machine learning vision and LIDAR technology to scan each plant, determine ripeness, and navigate autonomously down crop rows. A precision guidance mechanism ensures the robots can pick delicate fruit while avoiding collisions. This setup allows for incredible accuracy and commercial speed during the harvesting process.
October 2026 Patent of the Month: Agriculture, Farming, and Fishing
This technology earned the patent of the month award for the agriculture, farming, and fishing industry in October 2026 due to its direct solution to critical agricultural labor shortages. While grain harvesting has been mechanized for decades, delicate specialty crops have historically required hand picking to preserve fruit quality and ensure food safety. By combining sophisticated robotics with real time data analytics, this invention provides a commercially viable method to scale crop production. The automation of the picking process guarantees consistent ripeness accuracy and significantly improves operational efficiency for growers across the sector.
Eligibility for the US R&D Tax Credit
The practical applications of this automated harvesting technology present significant opportunities for agricultural and technology companies to claim the Research and Development (R&D) tax credit in the United States. Developing and testing custom algorithms for the machine learning vision system to accurately identify ripe crops qualifies as a permitted research activity. Furthermore, the iterative engineering processes required to integrate LIDAR systems, robotics, and the pick deck into a cohesive and safe autonomous vehicle involve overcoming technical uncertainties. Businesses investing capital into designing, prototyping, and refining these automated agricultural solutions can capture these expenditures under Section 41 of the Internal Revenue Code. Qualifying expenses often include the salaries of engineers, costs of prototype materials, and third party contractor fees. This financial incentive supports the continuous advancement of agricultural robotics and helps companies offset the substantial costs associated with creating commercial grade farming technology.
