Orchard Robotics: Farmers Shouldn’t Need To Be Data Analysts

Key Takeaways

  • Orchard Robotics transforms farm data into actionable insights for growers via an AI-powered camera system.
  • The platform enhances efficiency by predicting yields with over 95% accuracy and reducing labor and input costs.
  • Orchard is expanding its services globally, currently operating in multiple crop sectors beyond apples, including grapes and almonds.

Innovative Agriculture Solutions

Charlie Wu, founder and CEO of Orchard Robotics, emphasized the importance of actionable data at the recent Ruggedize ag robotics conference. He stated, “Data is only useful if there is an actual use for that data,” highlighting the need for farmers to leverage information without becoming data analysts.

Orchard Robotics has developed an AI-powered camera system that mounts on tractors and other farm vehicles, capturing millions of images to assess fruit counts, sizes, colors, growth rates, and health indicators. The system processes images using an onboard NVIDIA Jetson computer, which is essential in areas with limited connectivity, allowing for efficient data use without overwhelming network capacity. This data integrates into Orchard’s FruitScope platform, enabling growers to monitor conditions at an individual tree level.

Wu explained that Orchard is not just selling hardware or software, but rather the outcomes that growers can achieve by using their system effectively. The core value lies in improving return on investment (ROI) through optimized labor usage and resource inputs, which can boost efficiency across operations.

The technology also aids in supply-chain planning, with the ability to predict crop yields with over 95% accuracy. This precision allows farmers to make strategic decisions regarding labor hiring, bin procurement, and sales commitments. Although the company began by focusing on apple orchards, it has successfully expanded to include crops such as grapes, cherries, blueberries, almonds, and more. Future endeavors include entering markets for pomegranates, coffee, and strawberries.

Currently operating hundreds of systems across the U.S. and internationally, Orchard Robotics continues to grow its presence in specialty crop markets. In discussions with AgFunderNews, Wu noted, “In the first year, if a grower sees full value from labor and input savings, they can see anywhere from three to 10x ROI.”

The AI camera system, which is compact and lightweight, captures detailed information as vehicles traverse fields, providing details on everything from fruit development to disease detection. This capability allows farmers to make informed decisions quickly. For example, the technology can inform a grower about variations in fruit counts across trees, guiding labor deployment efficiently when pruning or thinning.

Communication of insights to growers is facilitated through a mobile app, ensuring field workers receive real-time updates. The app serves as the primary method for growers who may not have advanced machinery, while those with precision equipment can integrate findings for automated applications.

Orchard Robotics offers flexible business models, allowing growers to either use the camera themselves or benefit from full-service scanning by Orchard technicians. This adaptability caters to the diverse needs within the agricultural sector.

The subscription pricing is structured as a per-acre fee, encompassing all supports, updates, and services. This model ensures growers consistently use the latest technology without incurring additional costs for upgrades.

With successful experiences across various crops, the company’s expertise in machine learning facilitates efficient adaptation and deployment of its services. Wu envisions future growth and improved service across the global agricultural landscape, stating that Orchard’s goal is to serve every specialty crop available. This commitment has prompted a notable increase in demand domestically and internationally, bolstering the company’s growth in the ag-tech field.

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