New collaborations add sensor integrations for real-time quality control across the produce value chain
AgroFresh has joined forces with Rubens Technologies and Escavox to enhance its FreshCloud digital platform by boosting its analytics, monitoring and data capturing performance.
FreshCloud Harvest now integrates data from Rubens Technologies’ hand-held spectral scanner that enables growers to quickly and easily collect fruit quality indicators to help them predict the optimal time for picking and assess fruit quality, without damaging the produce.
Using spectral sensing combined with proprietary algorithms, the scanner measures brix, firmness and starch in apples, replacing time-consuming, subjective manual checks with near real-time data.
According to AgroFresh, it enables larger sample size for improved accuracy, and cuts testing and grading costs by automating data collection and displaying it within the FreshCloud platform.
“This collaboration combines Rubens Technologies’ innovation with AgroFresh’s expertise in pre- and post-harvest solutions to deliver a unique value proposition, improving fruit quality, reducing waste and offering greater profitability for all stakeholders,” said Daniel Pelliccia, founder and CEO of Rubens Technologies.
Escavox is a monitoring solution that captures and reports multiple layers of produce and shipping data while the product is in transit. With the integration into a new FreshCloud Transit module, wherever users or their products are, they can receive actionable insights from the Escavox technology to improve the quality and efficiency of fresh food logistics, including calculating predictive shelf life for best use, less rejection and reduced waste.
Luke Wood, founder and CEO of Escavox, commented: “Harvest quality, minus the impact of the journey, equals consumer quality. We take a unique approach with a focus on the food, not the assets that move it. By blending quality and commercial metrics into one place, we can expose problems and opportunities other solutions cannot see, let alone optimise. By using data to eradicate waste related to transit, everyone wins”.
