Braunger Maria Luisa, Neto Mario Popolin, Kirsanov Dmitry, Fier Igor, Amaral Lucas R, Shimizu Flavio M, Correa Daniel S, Paulovich Fernando V, Legin Andrey, Oliveira Osvaldo N, Riul Antonio
Instituto de Física "Gleb Wataghin" (IFGW), Universidade Estadual de Campinas-UNICAMP, Campinas 13083-859, São Paulo, Brazil.
Federal Institute of São Paulo-IFSP, Araraquara 14804-296, São Paulo, Brazil.
ACS Omega. 2024 Jul 25;9(31):33949-33958. doi: 10.1021/acsomega.4c04452. eCollection 2024 Aug 6.
The need to increase food production to address the world population growth can only be fulfilled with precision agriculture strategies to increase crop yield with minimal expansion of the cultivated area. One example is site-specific fertilization based on accurate monitoring of soil nutrient levels, which can be made more cost-effective using sensors. This study developed an impedimetric multisensor array using ion-selective membranes to analyze soil samples enriched with macronutrients (N, P, and K), which is compared with another array based on layer-by-layer films. The results obtained from both devices are analyzed with multidimensional projection techniques and machine learning methods, where a decision tree model algorithm chooses the calibrations (best frequencies and sensors). The multicalibration space method indicates that both devices effectively distinguished all soil samples tested, with the ion-selective membrane setup presenting a higher sensitivity to K content. These findings pave the way for more environmentally friendly and efficient agricultural practices, facilitating the mapping of cropping areas for precise fertilizer application and optimized crop yield.
为应对世界人口增长而增加粮食产量的需求，只能通过精准农业战略来实现，即在尽量少扩大耕地面积的情况下提高作物产量。一个例子是基于对土壤养分水平的精确监测进行精准施肥，利用传感器可使其更具成本效益。本研究开发了一种使用离子选择性膜的阻抗式多传感器阵列，用于分析富含大量营养素（氮、磷和钾）的土壤样本，并将其与另一种基于层层薄膜的阵列进行比较。使用多维投影技术和机器学习方法对两种设备获得的结果进行分析，其中决策树模型算法选择校准（最佳频率和传感器）。多校准空间方法表明，两种设备都能有效区分所有测试的土壤样本，离子选择性膜装置对钾含量具有更高的灵敏度。这些发现为更环保、高效的农业实践铺平了道路，有助于绘制种植区域图，以便精准施肥和优化作物产量。
