Sirvi Autor "Avotins, A." järgi
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Kirje Crop weight measurement sensor for IoT based industrial greenhouse systems(2018) Avotins, A.; Potapovs, A.; Apse-Apsitis, P.; Gruduls, J.No wadays the industrial management systems are changing by means of implementing various Internet of Things (IoT) technologies, allowing a simple integration of sensor technologies with wireless communications and development of cloud based database solution s. The industrial greenhouse management systems are not the exception in this regard, as they are becoming more and more popular with the use of various sensors for the automation of the vegetable and other crop cultivation process.The general aim they hav e is to raise the level of process automation, quality, energy efficiency and other important parameters. The implemented technologies and environment of industrial greenhouse can be different fir the research type laboratories, as they are focused on prod uction, therefore this research is conducted in cooperation with tomato producing industrial greenhouse of SIA ‘ Latgales darzenu logistika ’ focusing on IoT based crop weight measurement.Kirje Development and testing results of IoT based air temperature and humidity measurement system for industrial greenhouse(2018) Avotins, A.; Apse-Apsitis, P.; Bicāns, J.; Gruduls, J.In dustrial greenhouse control systems are changing and getting new capabilities, due to the evolution of the Internet of Things (IoT) technologies, allowing wirelessly integrate various sensor technologies and create a cloud - based database and analytic solut ions. Greenhouse systems typically are controlled by consuming single temperature and humidity measurement unit data (treated as an average value), this raises a question about the precision of such approach for application in a large industrial greenhouse . In this article IoT based temperature and humidity measurement system uMOL architecture is described and first measurement results of multi - point data collection with high resolution compared to existing single - point measurements.Kirje Experimental analysis of IoT based camera SI-NDVI values for tomato plant health monitoring application(2020) Avotins, A.; Kviesis, K.; Bicans, J.; Alsina, I.; Dubova, L.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.Kirje Irradiation level affects fluctuating asymmetry value of bilateral traits of cucumber in juvenile phase(2018) Rakutko, S.; Rakutko, E.; Avotins, A.; Berzina, K.Light is an important factor of the plant's environment. The aim of research was to confirm the hypothesis on the influence of different irradiation levels on the fluctuating asymmetry (FA) value of bilateral traits of plants cultivated in the indoor plant lighting. The object of research was the plants of cucumber ( Cucumis sativus L ) as one of the main glasshouse crops. Young 14 - day - old cucumber plants in the first true leaf phase were studied. Different irradiation levels (15.0, 22.5 and 30 W m - 2 ) were maintained by fluorescent lamps. An essential asymmetry of bilateral structures in plants grown under different irradiation levels was observed. It was found that statistically significant lower values of FA, that is greater stability of plant development, correspond to increased plant performance. When the irradiation level was switched from 15 to 30 W m - 2 (by 100%), the FA index for different bilateral structures varied by dif ferent amount: in terms of cotyledons mass it decreased from 0.046 to 0.032 relative units (by 30.2%), in terms of chlorophyll content in cotyledons it increased from 0.038 to 0.073 relative units (by 88.6%). In some bilateral structures the FA index varia tion was rather small: in terms of the cotyledon area it was zero, in terms of the cotyledon thickness – by 1.8%. I t was experimentally prove through the example of cucumber plants that FA index could be used as an indicator of plant developmental stability, characterizing the deviations of the growing environment parameters from the normal state in the indoor cultivating.Kirje Testing outcomes of IoT based continuous crop weight and PAR sensors at industrial greenhouse(Estonian University of Life Sciences, 2024) Avotins, A.; Potapovs, A.; Gruduls, J.; Ceirs, R.Industrial greenhouses have automated control systems for climate, lighting, irrigation, ventilation, and heating regulation using different types of feedback sensors. Nowadays it is a trend to increase the data precision and measurement data amount, thus various additional IoT sensors are installed, and the regulation becomes more precise, due to available data, which enables new analytical features to create new control rules or strategies. The general aim is to raise the level of process automation, quality, energy efficiency, and other important parameters. Still, further, we go into data resolution and amount, and the problem of data reliability and interpretation starts to become a challenging problem. In this article, authors focus on earlier developed PAR sensor modules and continuous tomato crop weight sensor modules (TWS) testing and received data analysis from an industrial greenhouse. Both sensors were tested in detail at the tomato greenhouse of ‘Latgales Darzenu Logistika’ in Mezvidi parish, with a total growing area of 5,062.4 m2 from 1.05.2022 to 30.06.2022., and gathered data is analysed for this period. Received sensor data can be used as the main feedback signal to create a lighting control strategy, same time increasing energy efficiency and reducing also costs. As artificial lighting energy consumption costs make 20–40% of total greenhouse costs, it is worth having a more precise lighting control system algorithm, integrating the crop growth increase and accumulated light energy during the day from the sun, and then adding only the missing amount (also period) of light provided by artificial lighting. Experimental studies of both sensor data, show that plants reaction can be monitored, as by decreasing the lighting period and temperature setpoint by 6% each, the plants daily weight gain decreases by 14%, and it can be measured already in first day after the new settings were set in place.