7 research outputs found

    Crop weight measurement sensor for IoT based industrial greenhouse systems

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    ArticleNo 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

    Low temperature BMP tests using fish waste from invasive Round goby of the Baltic Sea

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    ArticleRound goby (Neogobius melanostomus ) is an invasive fish species in the Baltic Sea. While meat can be used for human consumption, fish processing residues are considered as a waste. Within circular economy and bio - economy perspectives fish waste could be used as a valuable feedstock for biogas prod uction. However, the research is mostly focused on evaluating biogas yield at mesophilic conditions (i.e. 37 °C ). In this study the impact of low temperature on Biochemical Methane Potential (BMP) tests has been investigated. Round goby’s processing leftov ers - heads, intestines and skin/bone mixture were tested in codigestion with sewage sludge. Anaerobic digestion (AD) was carried out in 100 mL batch tests at low temperature 23 °C and 37 °C conditions, over an incubation period of 31 days. The results sho w that AD at low temperature occurs twice as slowly as under 37 °C conditions. However, after 31 days the BMP values for 23 °C samples were only 2% lower than for high temperature samples. Heads and skins showed similar BMP values reaching on average 502 L CH 4 kg VS - 1 and 556 L CH 4 kg VS - 1 respectively. BMP for fish intestines was higher, reaching on average 870 L CH 4 kg VS - 1 . Average BMP for mixes of fish heads, skins, intestines and bones was 660 L CH 4 kg VS - 1 . Acquired BMPs were further compared with the theoretical BMPs from Buswell's formula. Research results suggests that anaerobic digestion of fish waste under low temperature conditions could be feasible as the process still efficiently occurs, in fact ope ning a new opportunity to explore the overall sustainability of technologies based on these conversion processes

    Development and testing results of IoT based air temperature and humidity measurement system for industrial greenhouse

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    ArticleIn 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

    A review of studies on heterobasidion and its control in Latvia

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    Approximately 50% of the total area of Latvia is covered by forest: of which 35% is dominated by Scots pine (Pinus sylvestris) and 18% by Norway spruce (Picea abies)

    A review of studies on heterobasidion and its control in Latvia

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    Approximately 50% of the total area of Latvia is covered by forest: of which 35% is dominated by Scots pine (Pinus sylvestris) and 18% by Norway spruce (Picea abies)
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