SeedSphere

它是什么?

The modernization of seed banks and the synchronization and sharing of germplasm resources can be achieved through the combination of spherical robot autonomous collection equipment and B2B systems.

你的灵感

Since the 20th century, global crop diversity has been continuously lost, with three quarters of crop genetic resources already vanished. The construction and improvement of seed banks are now more urgent than ever. Currently, seed collection mainly relies on manual labor, and the construction of seed banks in China is still in its infancy, with the viability of seed transportation being hard to guarantee.

如何运作？

The current protection of endangered crops faces core problems: low efficiency, fragmented data, and lack of dynamic monitoring. However, the unmanned seed collection robot and B-end system, through the integration of technologies such as full-process automation, blockchain evidence storage, and multimodal interaction, can improve the protection efficiency and the level of scientific research collaboration. The spherical robot has unique structural advantages. Its shape enables it to move flexibly in complex terrains. Compared with traditional wheeled or tracked robots, the rolling mode of the spherical robot can reduce damage to crops, especially suitable for collecting endangered crops that are fragile, and providing power for the unmanned aircraft. This product compensates for the deficiency of insufficient interaction in actual agricultural production, closely integrating the theoretical research on crop growth and the status monitoring of endangered crops.

设计过程

After learning about the concept of endangered crops, it was discovered that there are still problems in the current protection of seed resources. Therefore, through preliminary research and visits to agricultural gene banks, the pain points of the traditional process were analyzed. Based on the analysis of protection methods and related competitors at home and abroad at the current stage, the design of seed collection without human intervention was carried out. At the beginning, the tracked machine designed was prone to damage the environment and the exposed parts were prone to damage. The effective range of ground collection of the machine was limited. Finally, a spherical design was adopted, and the collection was carried out by drones to enhance the flexibility of collection. During the system design, simple and clear navigation, seed bank, research and other functional contents were first built. The B2B system design was mainly based on green agriculture, considering that there were many maps and monitoring screens. To enhance the immersion, the navigation bar was consistent with the background color, and the sidebar could be folded to expand the screen. After determining the scheme, the model was made and the interface was designed, and then the video was produced.

它有什么不同？

The spherical robot is equipped with a built-in storage compartment (for seeds' temporary storage), a temperature control module (for drying/freezing), and a drone parking and charging compartment (for automatic recovery and energy replenishment). These features ensure the effectiveness of seed collection. The drone flies at high altitudes to create a map model, comprehensively scan the field, and obtain data such as the growth information and soil conditions of the crops. These data are transmitted to the background for the robot to plan its working path and assign tasks. Equipped with an integrated mechanical arm, it can precisely collect seeds while facilitating high-altitude harvesting. The background receives the data transmitted by the spherical robot and uses image recognition and other means to detect the seed activity and genetic characteristics, etc., to serve the subsequent planting and protection work.

未来计划

Core Hardware Upgrade:By integrating the research and development of domestically-made high-precision sensors,I aim to reduce hardware costs and enhance the degree of autonomy. Interaction Experience Upgrade:By integrating AI models,I can automatically generate 3D growth prediction animations based on seed gene data. Cultural Heritage Digitalization:Utilizing VR technology to construct a "digital agricultural museum". Through the three-stage process of "hardware iteration-scene expansion-ecological co-construction",ultimately aim to build a complete chain of smart agriculture ecosystem covering "collection-storage-research-commercialization".

奖项