Anavision offers smart environment solutions that employ cutting-edge visual and analytics technologies. These advanced solutions are designed to monitor, control, track, and predict harmful environmental activities in real-time. Their spectrum of focus encompasses: improving water and air quality, controlling noise pollution, efficient waste management, and predicting and managing the advent of natural disasters.

Advanced Farm has developed BetterPick, a state-of-the-art strawberry harvester that transitions traditional farming into a modern, tech-optimized sphere. The harvester combines a variety of robotic technologies to enhance efficiency and productivity on the farm. The system can sort and pack strawberries, identify ripeness and pick strawberries at a high speed using soft and safe grippers. It also comes with autonomous tractors for navigation, reducing the need for human intervention, and employs Hybrid-Electric Drive System that provides precision and efficiency regardless of weather conditions. Lastly, the autonomous fruit tray stacking capability allows storing hundreds of pounds of fruit.

Agrist AI Agriculture is an innovative solution that seeks to address global agricultural challenges. The system involves development and deployment of automated harvesting robots equipped with AI. The robots gather extensive data, which the AI system analyses, improving harvesting methods and predicting yields. The entire operation aims at enhancing sustainability and productivity in the agricultural sector. The low-cost, simple robots can be stationed in any farmland and personalized to specific cultivation needs, significantly aiding in convoluted farming tasks.

Advanced Farm's robotic apple harvester is designed to mechanize the challenging tasks in apple farming. Reusing its existing technology applied in strawberry harvesting, the company has successfully forayed into automating apple farming with the new robot. Features include soft grippers that remove apples gently, high-speed arms with a wide range of motion, safe autonomous navigation through orchards, a hybrid electric drive system for extended working hours without refueling, and real-time stereo cameras that fast scan trees for apples meeting specific color and size criteria. It fits seamlessly into existing orchard operations, causing no disruption to the harvest process.

Dogtooth Tech's yield forecast system delivers highly precise yield predictions that empower users to make informed decisions. It offers accuracy with its 7-14 day forecasts, helping users manage resources effectively to meet order requirements. As the robots navigate each crop row, they count berries, providing valuable data insight for yield and quality management. This prediction mechanism aims at providing an accurate estimation of produce, ultimately helping in reducing wastage, optimizing crop yield, and facilitating resource allocation strategies for the benefit of the agriculture industry.

Dogtooth Tech is providing efficient solutions to labour shortages in agriculture with their advanced robotic fruit harvesters. These robots have an outstanding ability for autonomous navigation along crop rows, identifying ripe fruit, harvesting them, and even neatly categorising the harvested fruit. They are tailored to support a wide array of tabletop infrastructures and have demonstrated successful results in strawberry picking. With robust scalability, Dogtooth has the production capacity to considerably impact the agri-tech with its fruit picking robots, having over 70 robots covering 5 hectares in 2022.

GRoW by MetoMotion is an award-winning, autonomous robotic worker designed to navigate through greenhouses, efficiently picking and packing crops. It uses advanced analytics derived from sensor data for improved crop management and leverages its 3D vision capabilities to perform crop selection based on ripeness settings. It offers round-the-clock operations with limited human support, streamlining traditional horticultural processes and minimizing human error.

Tevel-Tech develops Flying Autonomous Robots, leveraging advanced guidance and data control algorithms to deliver enhanced accuracy and maneuverability. These robots are constructed to be lightweight yet durable, enabling them to harvest a wide variety of fruit sizes. Every piece of fruit they harvest is tracked, offering real-time harvesting data. This continuity of data collection provides real-time insights into the harvest, including weight, size, color grading, and condition of each fruit, along with timestamp and geolocation. This disruptive innovation has earned Tevel 11 patents worldwide.