Digital integration of fruit farming

AgroFresh adds AI and imaging to strengthen quality control in fresh fruit

The company integrated Aerobotics and Neolithics into its FreshCloud platform, aiming to connect orchard and packing plant data in real time. The focus: to measure better, waste less, and make faster business decisions for berries, blueberries, and other fresh fruits.

AgroFresh Solutions It took another step in its post-harvest digitization strategy. The company announced two new global partnerships—with Aerobotics and Neolithics—that will be integrated into its ecosystem. FreshCloudThe platform centralizes quality data, sensors, and monitoring for the fresh produce industry. With this expansion, the company aims to offer producers, packing plants, and retailers a continuous view of the fruit's condition, from the tree to the point of shipment, thereby reducing losses and the risk of rejection.

He explained Bradford Warner, Director of Digital Solutions at AgroFreshThe idea is to "connect the intelligence of the orchard with that of the packing line like never before," integrating information that is currently scattered across different stages of the supply chain. FreshCloud already worked with third-party sensors and technologies—such as Rubens Technologies, Strella, and Escavox—and is now adding computer vision and high-speed inspection capabilities to complete the circuit.

Orchard intelligence within FreshCloud

The alliance with Aerobotics This will allow TrueFruit modules—its analytics suite for orchards and packing facilities—to be directly integrated into FreshCloud. This technology uses images captured with smartphones and processes them with artificial intelligence to measure size, color, detect imperfections, and provide harvest projections. For growers, this translates into more accurate estimates and the ability to compare what happens in the field with what ultimately reaches the processing plant.

James PatersonCEO AeroboticsHe emphasized that the value lies in the continuity of the data: the same parameters measured in the orchard can then be verified at the packing facility, using a common measurement standard. This simplifies harvest planning, packaging, and export schedule adjustments because all stakeholders are looking at the same information within the same system.

© Agrofresh

Non-destructive inspection for packing

The second agreement, with NeolithicIt is geared towards the critical stage of the plant. Its AI-powered imaging technology allows fruit to be inspected at the actual speed of a modern production line: from 1 kilo per minute in berries up to more than 6 tons per hour for larger fruits. The key is that each piece is scanned inside and out—including parameters such as °Brix, acidity, and dry matter—without damaging it and with an accuracy exceeding 90%.

For companies in berries and blueberriesThis represents a direct tool against losses due to rot or out-of-specification fruit: the system detects hidden defects and helps to separate batches before they travel. “We want the inspection to be a source of trust, not risk.”", He said Kate MurrayCEO Neolithic, while emphasizing that the goal is to reduce waste and provide more transparency to the buyer.

© Agrofresh

A more connected supply chain with less waste

With these additions, FreshCloud solidifies its position as a platform that aggregates real-time data from multiple sources—sensors, images, AI, packing records—and makes it available to operational and commercial decision-makers. For exporters, this means more tools to maintain quality in long-haul shipments; for retailers, greater ability to predict condition; and for the industry as a whole, a contribution to the growing goal of reducing waste in fresh fruit.

AgroFresh presents this model as an open ecosystem that will continually add technology partners. The logic is clear: the more stages that are digitally connected, the earlier quality problems are identified, and the more days of shelf life the fruit gains. In a market of blueberries y berries Where firmness, bloom and flavor define the price at destination, that difference can be decisive.

 

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