Experimental Analysis of IoT Based Camera SI-NDVI Values for Tomato Plant Health Monitoring Application
¹Riga Technical University, Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Azenes street 12/1, LV-1048, Riga, Latvia
²Latvia University of Life Sciences and Technologies, Faculty of Agriculture, Institute of Plant and Soil Science, Liela Street 2, LV-3001, Jelgava, Latvia
*Correspondence: ansis.avotins@rtu.lv
Abstract:
This paper reveals an IoT based camera design to capture SI-NDVI parameters and describes first obtained data analysis regarding luminary spectrum impact on readings in real greenhouse application. For experimental comparison, measurements of Encore, Strabena, Audiance, Bolzano, Forticia and Chocomate tomato plants, both for the ‘best’ and the ‘weakest’ plant sample, using IoT based camera solution and portable leaf spectrometer. First experimental results show that this approach can be applied for tomato plant monitoring, and reveals some ideas about possible precision improvements.
Key words:
industrial greenhouse, IoT, precision agriculture, SI-NDVI, tomato plant