澳大利亚Octopusbot公司发射AI系统,利用卫星数据以95%的精度跟踪卡诺拉产量。 Australian firm Octopusbot launches AI system using satellite data to track canola yields with 95% accuracy.

澳大利亚一家Ag-tech公司Octopusbot启动了一个AI驱动作物跟踪系统,该系统利用卫星数据和卡诺拉花流指数实时监测卡诺拉产量。 An Australian ag-tech firm, Octopusbot, has launched an AI-driven crop tracking system that uses satellite data and a Canola Flowering Index to monitor canola yields in real time. 该工具每十天更新一次,跟踪全国各地蓬勃发展的进展,提供从地方政府地区到个别农田的数据,根据以往的人口普查和农场报告,95%的准确度得到验证。 Updated every ten days, the tool tracks flowering progress across the country, offering data from local government areas down to individual paddocks, with 95% accuracy validated against past census and farm reports. 它通过减少对估计数的依赖,帮助农民、贸易商和加工商改进预报和收获规划。 It helps farmers, traders, and processors improve forecasting and harvest planning by reducing reliance on estimates. 虽然大多数用户依靠区域数据,但接近加工或出口地点的用户则需要详细了解面板一级的见解。 While most users rely on regional data, those near processing or export sites value detailed paddock-level insights. 该系统经过成功试点后广泛使用,正在改变Canola工业如何跟踪作物开发。 The system, now widely available after a successful pilot, is transforming how the canola industry tracks crop development.