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农业支持 7.80亿人类 今天生活在地球上. 农业产量必须 上升了70% to support the population growth of the future.
But farmers are facing a multitude of challenges from climate change, 土壤侵蚀, 生物多样性的丧失, and reduced land and labor due to urbanization. 每一粒粮食都很重要, and technology that can help farmers protect their crops and improve their yields is of immense value.
微米 合资企业 is excited to be a part of this agricultural revolution through our investment in Taranis.
Taranis offers a complete digital agronomy solution to support farmers in protecting their crops and making informed decisions on crop health. In a market that appears to be very crowded, Taranis’s technology solution and approach to scaling drew us to the 公司.
保护庄稼
As someone who has successfully managed to kill a cactus among other plants, I can vouch that growing plants is no easy task. Threats abound —pests, weeds, water regulation and soil nutrients — and the list seems endless. A little preemptive warning can go a long way to help prevent large-scale crop destruction and yield loss by these villains!
Solutions in the market today range from manual scouting of farms — think of this as sampling the crops at various parts of a field to check for any indications — to precision agriculture solutions that use sensor and imaging data to identify and precisely treat crop threats.
Technology: Getting to Leaf-Level Visibility
不像我, who aspires to a green thumb, 方法Schlam, CEO and co-founder of Taranis, comes from a fourth-generation farming family in Israel and was driven by a passion to apply technology to farming. 他和Amihay Gornik, 联合创始人兼硬件副总裁, developed a novel technology to get to submillimeter-level resolution from low-altitude imagery.
Taranis uses a payload that can be affixed to drones and smaller planes to capture high-quality leaf level imagery. This payload is made with off-the-shelf components that are integrated according to a patented HW design and loaded with proprietary software. Taranis adds layers of data, including satellite imagery, to get daily updates. In the event of any adverse conditions such as pest or nutrient deficiency, areas can be detected for immediate treatment.
Combining the imagery with machine learning allows Taranis to not only spot issues sooner but also identify the source and nature of the threat. This approach helps the farmer to precisely treat the problem — whether the fix is targeting the application of pesticides or addressing nutrient deficiency in a specific zone on the farm. Taranis helps create custom prescriptions that are sent to farm machinery to spray only if and where needed based on the leaf-by-leaf, plant-by-plant automatic diagnostic done via AI.
With the current funding round, we look forward to Taranis expanding its scouting capabilities further while also increasing its footprint of good for the agriculture industry.
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