Machine learning driven crop insights tool HarvestEye exhibited on the global agronomy stage at Fruit Logistica last month, showing its new compatibility to the international fresh produce sector.
Fitting to harvesting or grading equipment, HarvestEye is a cost-effective method to deliver visibility – via an online portal and daily reports – on the size, shape and mapping variability of crops.
The HarvestEye team has continued to train its machine learning model following the launch of its refreshed 2.0 system, with trial and development over the past year leading to the system now being compatible with different varieties of onions, in addition to potatoes.
In addition to the machine learning model development, HarvestEye is set to launch its new handheld version of. This uses the power and data insight of the system to allow customers to count and size crop pre-harvest during test digs.