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=== 精准农业与实时监测 === 精准农业利用传感器、遥感和数据分析,使农户能够精细管理香蕉园的生产要素。通过在园地部署土壤湿度、养分和气象传感器,结合无人机或卫星影像对作物长势进行监测,AI可以实时分析各区域香蕉植株的状态,精确指导施肥、喷药等操作。这样一来,投入得以按需分配,既避免浪费又保证植株获得充足养分 (Will the Convergence Between Artificial Intelligence and Precision Agriculture Lower Farming Costs? - ARK Invest) (IoT and Sensor-Based Irrigation: Transforming Banana Farming)。据研究,结合AI的精准农业有望将全球农业运营成本降低逾22% (Will the Convergence Between Artificial Intelligence and Precision Agriculture Lower Farming Costs? - ARK Invest);例如精准定位施肥和用药可使投入品用量减少约27%,其中化肥用量下降近60% (Will the Convergence Between Artificial Intelligence and Precision Agriculture Lower Farming Costs? - ARK Invest)。在中国等国的实践中,一架农业无人机一天可喷洒约1,215公顷农田,而人工喷洒仅约4公顷 (The farm robots revolutionizing the way we grow our food - CGTN)。这种高效率不仅缓解劳动力不足,也大幅降低了作业成本。对柬埔寨的香蕉种植园而言,采用无人机巡田和喷洒,可在减少人工投入的同时覆盖更大片区,有效提高生产力。
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