通过经训练的机器人高效、可持续地采收作物，以最少资源与损耗实现最高产量。Siemens 数字孪生方案在虚拟环境中训练采摘机器人，使其在收获旺季可安全、快速地应对高负荷作业需求。
Challenge
Robots need training to harvest effectively and navigate safely inside greenhouses. But physical trials are costly, time-consuming, and risk damage to equipment and infrastructure.
Solution
Provide a safe, controlled digital training scenario for robots to perfect harvesting techniques. Within Siemens Digital Twin environment, you can tweak parameters and test different scenarios to improve robot performance quickly.
Train robot neural networks to pick crops cost-effectively, without the need to deploy and maintain equipment in a real farm environment. Simulate physical conditions with Siemens Digital Twin solutions and use SIMATIC S7-1500 to control robots and collect sensor data for rapid robot development.
Get robots ready for harvest with virtual training in picking techniques and monitoring plant health and ripeness.
Teach robots to pick crops quickly with virtual simulations — without risking damage to equipment and greenhouse infrastructure.