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In modern precision agronomy, Crop Registration remains the industry standard for monitoring plant health. However, traditional manual sampling is typically limited to a representative subset (<0.1% of total population). This heuristic approach is inherently prone to sampling bias and fails to capture the high-degree spatial variability of greenhouse microclimates. The FRAVEBOT platform shifts the paradigm from sampling to census-scale data acquisition . Our objective is to

Installed in February 2025 in a tomato crop, the FRAVEye device at the GreenCoop company in Slovakia represents our first and longest-operating unit in a greenhouse environment. At the time of writing, it has captured over 4224 detections, 2637 of them belonging to the monitored species, detecting both pest and beneficial insects. FRAVEye unit installed in the tomato compartment at GreenCoop, Slovakia Since the early start of the season, FRAVEye has been collecting informat

Everyone in AgTech talks about automation, but they often forget the most important part: power. A robot with a dead battery is just an expensive obstacle. Running a fleet of autonomous robots 24/7 in a large-scale greenhouse presents a massive power challenge. Last season, we learned this the hard way. Our old charging strategy was a constant bottleneck. It was manual, inefficient, and created logistical headaches that held back our "automated" system. For this season, we en

FRAVEBOT Scout is now part of the HORTIVEC innovation project at PSKW in Belgium. The collaboration focuses on developing advanced AI models for greenhouse pest and disease detection and validating next-generation navigation technology under real research-station conditions. Since March , the FRAVEBOT Scout has been operating full-time at the PSKW research centre in Sint-Katelijne-Waver. Over this period we have been steadily improving our AI models for recognition of pests,