论文标题

人工智能实现可持续农业的移动土壤分析

Artificial intelligence enables mobile soil analysis for sustainable agriculture

论文作者

da Silva, Ademir Ferreira, Ohta, Ricardo Luis, Azpiroz, Jaione Tirapu, Fereira, Matheus Esteves, Marçal, Daniel Vitor, Botelho, André, Coppola, Tulio, de Oliveira, Allysson Flavio Melo, Bettarello, Murilo, Schneider, Lauren, Vilaça, Rodrigo, Abdool, Noorunisha, Junior, Vanderlei, Furlaneti, Wellington, Malanga, Pedro Augusto, Steiner, Mathias

论文摘要

为了优化生产产量,同时限制了负面的环境影响,可持续的农业受益于实时,以低成本对土壤进行现场分析。比色纸传感器是廉价和快速化学点测试的理想候选者。但是,他们的现场应用需要以前未经鉴定的纸张传感器可靠性以及通过集成的移动通信,人工智能和云计算技术进行自动读数和分析。在这里,我们报告了基于在热带田间条件下运行的比色纸传感器的移动化学分析系统。通过在面积为9公顷的领域中绘制表土pH值,我们按照协议根据协议,对复合土壤样品进行参考分析,根据精确的农业标准进行了基准测试。与常规实验室分析相比,我们的移动土壤分析系统在97%的病例中正确分类了土壤pH,同时将分析时间从几天减少到几分钟。此外,通过对现场中各个化合物子样本进行现场分析,我们实现了空间分辨率的9倍增加,这揭示了在复合映射模式下无法检测到的pH值。我们的移动系统可以扩展以对土壤养分进行多参数化学测试,以在边际制造成本下对环境监测进行应用。

For optimizing production yield while limiting negative environmental impact, sustainable agriculture benefits greatly from real-time, on-the-spot analysis of soil at low cost. Colorimetric paper sensors are ideal candidates for cheap and rapid chemical spot testing. However, their field application requires previously unattained paper sensor reliability and automated readout and analysis by means of integrated mobile communication, artificial intelligence, and cloud computing technologies. Here, we report such a mobile chemical analysis system based on colorimetric paper sensors that operates under tropical field conditions. By mapping topsoil pH in a field with an area of 9 hectares, we have benchmarked the mobile system against precision agriculture standards following a protocol with reference analysis of compound soil samples. As compared with routine lab analysis, our mobile soil analysis system has correctly classified soil pH in 97% of cases while reducing the analysis turnaround time from days to minutes. Moreover, by performing on-the-spot analyses of individual compound sub-samples in the field, we have achieved a 9-fold increase of spatial resolution that reveals pH-variations not detectable in compound mapping mode. Our mobile system can be extended to perform multi-parameter chemical tests of soil nutrients for applications in environmental monitoring at marginal manufacturing cost.

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