Application of Multispectral Images to Monitor the Productive Cycle of Vines Fortified with Zinc

D. Daccak, C. Pessoa, A. R. Coelho, A. Marques, I. Luís, J. Caleiro, M. M. Silva, M. Simões, F. Reboredo, M. Pessoa, P. Legoinha, M. Brito, J. Kullberg, J. Almeida, P. Campos, J. Ramalho, F. Lidon
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Abstract

In the context of an exponentially growing population and resource limitations, precision agriculture techniques can improve efficiency in the agricultural sector. This can be achieved by monitorization and quick detection of changes in crops, resulting in smart resource use, waste reduction and maximization of production. In a field located in Palmela (Portugal), three foliar sprays of ZnO and ZnSO4 were performed in Vitis vinifera variety Fernão Pires, for production of biofortified single-vine wine. Field characterization was performed with soil sampling and UAVs (with altimetric measurement sensors), synchronized by GPS. Vegetations indexes and characterization of drainage capacity and slopes were then interpolated with mineral content, monitored with X-ray Fluorescence analysis. Morphologically, the experimental parcel had a slight slope (maximum of 1.10 m) with irrigation and nutrient availability in soil requiring special attention (i.e., just one-third of the parcel had higher capacity to water drainage). NDVI values reflected better physiological values in the N–NE region. Zinc increases in leaves were directly proportional with the applied concentrations in vines sprayed with ZnSO4 and ZnO; the concentration of 60% (900 g ha−1) revealed a greater vigor. In conclusion, the use of smart farm techniques and their crossing with analytical procedures allows the characterization and monitoring of vines, and a higher potential for optimization of wine production.
多光谱图像在锌强化葡萄生产周期监测中的应用
在人口指数增长和资源限制的背景下,精准农业技术可以提高农业部门的效率。这可以通过监测和快速检测作物的变化来实现,从而实现智能资源利用,减少浪费和最大化生产。在葡萄牙Palmela的一个田间,对葡萄品种fern o Pires进行了三次叶面喷洒氧化锌和硫酸锌,用于生产生物强化单葡萄葡萄酒。通过土壤采样和无人机(带有测高传感器)进行现场表征,并通过GPS同步。然后将植被指数、排水能力和坡度特征与矿物含量进行插值,并用x射线荧光分析进行监测。从形态上看,试验地块坡度较小(最大为1.10 m),土壤的灌溉和养分有效性需要特别注意(即只有三分之一的地块具有较高的排水能力)。NDVI值较好地反映了N-NE区域的生理值。施用氧化锌和硫酸锌后,叶片锌含量的增加与施锌量成正比;浓度为60% (900 g ha - 1)时表现出更强的活力。总之,智能农场技术的使用及其与分析程序的交叉可以对葡萄树进行表征和监测,并具有更高的优化葡萄酒生产的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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