Multispectral Cameras and Machine Learning integrated into Portable Devices as Enabling Technology for Smart Farms

The present work proposed a low-cost portable device as an enabling technology for 1 Smart Farms using multispectral imaging and Machine Learning in soil texture. Clay is an 2 important factor for the verification and monitoring of soil use due to its fast reaction to chemical 3 and surface changes. The system developed uses the analysis of reflectance in wavebands for clay 4 prediction. The selection of each wavelength is performed through an LED lamp panel. A NoIR 5 microcamera controlled by a Raspberry Pi device is employed to acquire the image and unfold it 6 in RGB histograms. Results showed an good prediction performance with R2 of 0.96, RMSEC of 7 3.66% and RMSECV of 16.87%. The high portability allows the equipment to be used in a field 8 providing strategic information related to soil sciences. 9

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