Abstract
For the development of a smart food chain, it is necessary to produce stable high-quality agricultural products in the agricultural sector which is the starting point of the food system, and it is important to accumulate and analyse the phenotypic information of agricultural products during cultivation. An easy, rapid, non-destructive and quantitative evaluation method of tree vigor is desirable. This study aimed to develop an X-ray fluorescent (XRF) spectroscopy of fresh leaves and infrared (IR) spectroscopy of fruit juice using a portable device. In addition, the relationship between the spectroscopic information and the surface color of agricultural products was studied. The results showed that the changes in leaf element were in balance and organic matters in the fruits due to slight differences in cultivation conditions were grasped as the XRF and IR spectroscopic information. Furthermore, such changes could be reflected as the differences in the surface color information obtained using the digital camera. Therefore, it was experimentally suggested that the multiband optical sensing could be a powerful and important tool for realizing smart food chains and phenomics research starting from agricultural production.
Highlights
To develop an ecosystem for a smart food chain, it is necessary to stably produce high-quality agricultural products and to design the quality in agricultural sectors, which is the starting point of the food system
Evangelou et Muramatsu et al / Food Research 4 (Suppl. 6) (2020) 132 - 137 al. (2016) reported that the X-ray fluorescent (XRF) spectroscopy could be a quantitative method to simultaneously estimate the elemental contents by comparing the XRF spectroscopic information of the dried leaf powder with those of the extracts obtained using a conventional destructive method, and we showed the great potentiality of the spectroscopic method to get the quantitative elemental information of tomato (Muramatsu et al, 2018)
The spectra were standardized using the peak intensity of RhLα that was the target for X-ray generation and were averaged for the seven leaflets of the same compound leaves. For both kinds of the XRF spectra, the excellent agreements of the peak positions relating major elements were observed though the standardized intensities for the dried powder were much stronger than those for the fresh leaves
Summary
To develop an ecosystem for a smart food chain, it is necessary to stably produce high-quality agricultural products and to design the quality in agricultural sectors, which is the starting point of the food system. It is important to rapidly, non-destructively, and non-chemically acquire the phenotypic information of agricultural crops in a simple manner and to analyse them for cultivation management. Various kinds of organic components in agricultural crops are very important as of the metabolic chemicals and as the quality factor. The color of agricultural products has been practically and empirically used as one of the most important and useful quality indices in agricultural processes such as cultivation, harvesting, sorting, packing, logistics and retails. Future agriculture must equip various plant sensors to obtain such phenotypic information while the wireless sensor networks in the present stage mainly cover the weather and soil conditions (Kameoka and Hashimoto, 2013)
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