SBIR Phase I: Advanced bioeconomic forecasting enabled by next-generation crop monitoring

SBIR 第一阶段：通过下一代作物监测实现先进的生物经济预测

• 批准号: 1549035
• 负责人: Adam Wolf
• 金额: $ 15万
• 依托单位: Arable Labs, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1549035&HistoricalAwards=false
• 关键词: SBIR; Phase; Advanced; bioeconomic; forecasting

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to empower farmers to capture a greater share of revenue from the marketing of their crops. Agriculture is a significant engine to the U.S. economy, and farming itself is vital to creating economically vibrant rural areas. Farmers are often at a disadvantage when it comes to capturing good prices from their crops because there are significant information asymmetries in the marketing supply chain. This project develops a combination of hardware and analytics that greatly improves crop forecasts at dramatically more accessible prices, which allows farmers and their trusted buyers to make more informed marketing decisions. An addition to the narrow application of sensing hardware and analytics for forecasting, the data collected by the platform can also be used by growers to make decisions that improve operational performance of complex agribusinesses and improve the agronomy of the farm. These tools make it easier to compare performance of crops to improve yields and reduce resource costs. Together this technology continues to raise productivity and profitability per farmer.This Small Business Innovation Research (SBIR) Phase I project integrates a novel plant and weather sensing platform with analytics that synthesizes data into actionable forms that can drive agribusiness decisions. The project bundles a suite of capabilities into a single hardware unit that includes sensing, communications, GPS, mounting, and solar power, which dramatically reduces the cost and increases the simplicity of collecting agricultural data. These data are uniquely designed to monitor crop performance and its sensitivity to weather and management. Data synthesis is a critical pain point in transforming raw numbers into insights for growers to act upon. By creating an integrated hardware platform, the data is poised to provide useful advice that allow a farmer to act on emerging situations, anticipate upcoming events, and even predict the future. A research objective will be to generate probabilistic forecasts that use the unique data from our hardware to estimate key crop growth parameters and project forward for an operational yield forecast. This coupling between highly informative quantitative in-field data and sophisticated ensemble-based parameter estimation and forecast techniques could dramatically improve marketing decisions and help farmers capture better prices for their products.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力将是使农民从农作物的营销中获得更大的收入。 农业是美国经济的重要引擎，农业本身对于建立经济充满活力的农村地区至关重要。 在营销供应链中有很大的信息不对称，农民通常会处于劣势。 该项目开发了硬件和分析的组合，可以极大地改善农作物的预测，以更容易获得的价格，这使农民及其可信赖的买家可以做出更明智的营销决策。 对于预测的传感硬件和分析的狭窄应用，该平台收集的数据也可以被种植者收集的数据来做出改善复杂农业综合企业的运营性能并改善农场的农业工艺的决策。这些工具使比较农作物的性能以提高产量和降低资源成本变得更加容易。 这项技术共同提高每个农民的生产力和盈利能力。这项小型企业创新研究（SBIR）I期项目将新颖的植物和天气传感平台与分析相结合，将数据综合为可行的形式，这些形式可以推动农业综合企业的决策。 该项目将一套功能捆绑到一个单个硬件单元中，其中包括感应，通信，GPS，安装和太阳能，这大大降低了成本并增加了收集农业数据的简单性。 这些数据的唯一设计旨在监测作物性能及其对天气和管理的敏感性。 数据合成是将原始数量转化为洞察力供种植者采取行动的关键痛苦点。通过创建一个集成的硬件平台，数据可以提供有用的建议，使农民可以在新兴情况下采取行动，预测即将发生的事件，甚至预测未来。 研究目标将是生成概率预测，这些预测使用我们硬件中的独特数据来估算关键的作物生长参数，并向前投影以进行运营收益预测。 高度信息丰富的定量现场数据与基于整体的参数估计和预测技术之间的耦合可以极大地改善营销决策，并帮助农民捕获其产品的更高价格。