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Smart Crops Irrigation System with Low Energy Consumption
Nyakuri Jean Pierre(Nyakuri Jean Pierre ),Bikorimana Sefu(Bikorimana Sefu ),Bahizi Venuste(Bahizi Venuste ),Mirembe Jean D’Amour(Mirembe Jean D’Amour ),Kanyarwanda Daniel(Kanyarwanda Daniel ),Nzemerim 적정기술학회 2023 적정기술학회지(Journal of Appropriate Technology) Vol.9 No.1
The COVID-19 preventive measurements restrict farm-workers from travel to their farms, social distancing and lockdown to prevent them from getting infected. Consequently, farming and irrigation activities are dramatically reduced due to shortage of farm-workers and reduction of crops production. To find solutions, various technologies have been adopted to remotely connect farmers with their farm-fields from their homes and perform the same work as they are in the farm. An Internet of Things (IoT) approach, modern sensor technologies, and smart irrigation equipment are coupled to allow the collection of the field data for automatic irrigation of the field. This paper presents the IoT system based on Fuzzy logic controller that assists farmers to receive and monitor necessary irrigation data from the farm field through their smart phones and PCs. The Wireless Sensor Networks (WSNs) are deployed in the field to measure the water content in the soil and water used for plants by measuring the soil moisture dynamics throughout the entire duration of the crop growing sea- son in the Maize crop farm. The Fuzzy logic controller was used for data analytics and intelligent decision making as well as Fuzzy logic toolbox in MATLAB to simulate irrigation scheduling process. The system saves 50% of water and energy consumption for irrigation, 80% reduction of farm-workers and increase in 20% of crop production.
Jean Pierre Munyaneza1,Jean de Dieu Rukundo,Aaron Niyonsaba 한국동물유전육종학회 2021 한국동물유전육종학회지 Vol.5 No.4
The most common poultry production system in Rwanda is an extensive system based on rearing indigenous chicken with low productivity. The objective of the present review was to highlight the challenges and opportunities of poultry farming, genetic resources, and strategies to improve poultry production in Rwanda. Poultry farming in Rwanda is facing many challenges including, feed scarcity, dependency on day-old chick imports, and poor access to credit, poor housing, and poor local genetic breeds and diseases. On the other hand, it presents opportunities such as active participation of public agencies in livestock research and improvement, higher chicken meat acceptance, and low start-up capital. Rwanda needs to pay more attention to its diversified indigenous chicken to select the best parent stocks to improve poultry production.
Experimental and Numerical Investigation of the Erosive Potential of a Leading Edge Cavity
Jean-Bastien Carrat,Regiane Fortes-Patella,Jean-Pierre Franc 한국유체기계학회 2019 International journal of fluid machinery and syste Vol.12 No.2
This paper presents a joint experimental and numerical analysis of the erosive potential of an unsteady cavity that develops at the leading edge of a two-dimensional hydrofoil and periodically sheds vapour clouds. From an experimental viewpoint, the erosive potential was characterized by pressure pulse height spectra. The hydrofoil was equipped with eight pressure sensors made of PVDF piezoelectric film that allowed the measurement of flow aggressiveness at different locations along the hydrofoil chord. It was shown that the mean peak rate over a large number of cavity pulsations exhibits a maximum at a distance from the leading edge close to the maximum cavity length. Moreover, the increase in flow aggressiveness caused by an increase in flow velocity can be explained by an increase in both amplitude and frequency of impact loads. From a numerical viewpoint, the unsteady Reynolds averaged Navier-Stokes (RANS) equations were solved using a modified k-ε RNG turbulence model together with a homogeneous cavitation model within a two-dimensional approach. Flow aggressiveness was estimated from the Lagrangian derivative of the computed void fraction that allows identifying the regions of collapse of vapour structures. Three different critical regions from an erosive viewpoint were numerically identified. Apart from the region of collapse of the shed cloud (which was not instrumented in the present study), the computations showed a maximum of aggressiveness around the maximum cavity length as found experimentally. Another region of high aggressiveness closer to the leading edge and associated to the upward movement of the re-entrant jet was predicted by the present numerical model but not confirmed experimentally, which probably shows the limitation of a two-dimensional approach.