scholarly journals Lorawan Based Smart Agriculture, Remote Sensing and Auto Watering System

2021 ◽  
Vol 9 (VII) ◽  
pp. 1770-1774
Author(s):  
Amrutha Kulkarni
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Vital Role ◽  
Soil Testing ◽  
Water Usage ◽  
Water Pump ◽  
Active Process ◽  
Water Pumping ◽  
Excess Amount ◽  
Smart Agriculture

The smart agriculture is the active process which helps farmers in getting overall yield. Many factors play a vital role in getting yield such as moisture /humidity of the soil, temperature, carbon monoxide on top layer of the soil. This project is undertaken in order to help farmers in increasing the quantity of product and gain. The sensors such as temperature, moisture, carbon and etc. Senses and provides the values and these measured values are then passed through the node where LoRa module and Arduino is present. These data are stored in the cloud and utilized whenever required. Simultaneously a water pump in connected and with the help of measured values, depending on the crop, the water is pumped. Water pumping is mainly dependent on the quantity of CO present on the top layer of the soil. If it is in excess amount, then water is overflowed such that CO on top layer of the soil which is not necessary will be removed. Parallelly the measured values are stored in cloud and utilized by soil testing centers for clearing the issues of the farmer. This helps in water usage reduction up to approximately 50% and helps farmer get good yield and profit.

scholarly journals Design and Implementation of Remote Sensing Robotic Platform for Precision Agriculture

2019 ◽  
Vol 8 (11) ◽  
pp. 2396-2399
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Remote Monitoring ◽  
Autonomous Robots ◽  
Crop Productivity ◽  
Vital Role ◽  
Temperature Data ◽  
Robotic Platform ◽  
Design And Implementation ◽  
Smart Agriculture

Smart agriculture plays a vital role in counties economy and development. Automation in the field of agriculture has led to the usage of autonomous robots for many field applications. In this scenario, remote monitoring of various field parameters are highly imperative for increased productivity. In order to demonstrate the usage of robots in agriculture, environmental monitoring robot was designed in this work. The first part was designed to collect soil moisture and temperature data from farm land and secondly to aggregate the data from the sensors. Finally, the data from the sensors will stored in the cloud for further processing and decision making for controlling actuator part. Overall system can increase the crop productivity and reduce the wastage of resources

scholarly journals PERENCANAAN DAN ANALISIS KELAYAKAN INVESTASI PROYEK PEMASANGAN KAPASITOR BANK PADA INSTALASI PEMANFAATAN ENERGI LISTRIK

2021 ◽  
Vol 9 (1) ◽  
pp. 77-82
Author(s):  
Epiwardi ◽  
Ruwahyoto ◽  
Heri sungkowo
Keyword(s):  
Payback Period ◽  
Economic Life ◽  
Water Pump ◽  
Energy Usage ◽  
Capacitor Banks ◽  
Water Pumping ◽  
Pump Station ◽  
Pumping Stations ◽  
Feasibility Test ◽  
The Cost

The low power factor in the electricity installation of Sumber Wendit 3 water pumping stations causes a bill of excess reactive energy usage or kVARh, so that the cost of using electricity becomes higher. The excess use of reactive energy can be compensated by additional investment in installing capacitor banks in the main distribution panel (MDP) Sumber Wendit 3 water pump station. Based on the data and problems, it is planned to install capacitor banks that meet the standards with a target of 0.90 and 0.95 lagging. From the results of the planning, we need 150 kVAR and 250 kVAR capacitors, with an investment value of Rp. 94,983,790 and - Rp. 120,781,210. After an investment feasibility test using the Payback Period (PP) method, it is known that for a 150 kVAR bank capacitors, the investment return is technically 2.88 months and economically is 4.01 and 3.17 months. For 250 kVAR bank capacitors, the return on investment is technically 3.66 months and economically 5.1 and 4.03 months. When compared with the economic life of the investment is 10 years, the investment of the bank capacitor installation project is very profitable and feasible to carry out

scholarly journals Importance and Responsibilities of Internet of Everything (IOE) For Monitoring and Controlling in Smart Agriculture Systems.

2020 ◽  
Vol 8 (6) ◽  
pp. 4905-4909
Keyword(s):  
Smart Cities ◽  
Atmospheric Condition ◽  
Agricultural System ◽  
Home Automation ◽  
Water Usage ◽  
Internet Of Everything ◽  
Education Industry ◽  
Management Technology ◽  
Smart Agriculture ◽  
Agriculture Systems

Nowadays, Internet Of Everything (IOE) plays an important role in varies sectors like Home Automation, Smart Cities, Education, Industry, Healthcare, smart grid, business, supply chain Management, technology and in Agriculture. The implementation IOE technology in the Agricultural system makes the Farmers to monitor their Agricultural Fields & crops and controls the things, remotely from their Mobile Phones. The various Wireless Sensor Network (WSN) can sense the Parameters and sends the measured and observed data to the farmers through IOE network. Accordingly, things can be controlled smartly. This helps in applications like soil moisture and nutrients Sensing, Reporting atmospheric condition, custom fertilizer profiles supported soil chemistry, Controlling water usage for optimal plant growth, it also include farm vehicle tracking, storage monitoring etc. This paper focuses on Importance and Responsibilities of IOE in agricultural Systems, those results in smart framing and will minimizing the losses in the Agriculture.

Remote sensing of carbon monoxide vehicle emissions

1996 ◽  
Vol 189-190 ◽  
pp. 149-153 ◽  
Author(s):  
G.M. Muncaster ◽  
R.S. Hamilton ◽  
D.M. Revitt
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Vehicle Emissions

scholarly journals A Cost-Effectiveness Study of Carbon Monoxide Emissions Reduction Utilizing Remote Sensing

Air & Waste ◽  
1993 ◽  
Vol 43 (7) ◽  
pp. 978-988 ◽  
Author(s):  
Gary A. Bishop ◽  
Donald H. Stedman ◽  
James E. Peterson ◽  
Theresa J. Hosick ◽  
Paul L. Guenther
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Cost Effectiveness ◽  
Emissions Reduction ◽  
Effectiveness Study ◽  
Cost Effectiveness Study

scholarly journals The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation

2009 ◽  
Vol 9 (8) ◽  
pp. 2843-2861 ◽  
Author(s):  
S. R. Freitas ◽  
K. M. Longo ◽  
M. A. F. Silva Dias ◽  
R. Chatfield ◽  
P. Silva Dias ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Biomass Burning ◽  
Transport Model ◽  
Aerosol Particles ◽  
Atmospheric Modeling ◽  
Tracer Transport ◽  
Regional Atmospheric Modeling System ◽  
Biomass Burning Aerosol ◽  
Regional Atmospheric Modeling

Abstract. We introduce the Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS). CATT-BRAMS is an on-line transport model fully consistent with the simulated atmospheric dynamics. Emission sources from biomass burning and urban-industrial-vehicular activities for trace gases and from biomass burning aerosol particles are obtained from several published datasets and remote sensing information. The tracer and aerosol mass concentration prognostics include the effects of sub-grid scale turbulence in the planetary boundary layer, convective transport by shallow and deep moist convection, wet and dry deposition, and plume rise associated with vegetation fires in addition to the grid scale transport. The radiation parameterization takes into account the interaction between the simulated biomass burning aerosol particles and short and long wave radiation. The atmospheric model BRAMS is based on the Regional Atmospheric Modeling System (RAMS), with several improvements associated with cumulus convection representation, soil moisture initialization and surface scheme tuned for the tropics, among others. In this paper the CATT-BRAMS model is used to simulate carbon monoxide and particulate material (PM2.5) surface fluxes and atmospheric transport during the 2002 LBA field campaigns, conducted during the transition from the dry to wet season in the southwest Amazon Basin. Model evaluation is addressed with comparisons between model results and near surface, radiosondes and airborne measurements performed during the field campaign, as well as remote sensing derived products. We show the matching of emissions strengths to observed carbon monoxide in the LBA campaign. A relatively good comparison to the MOPITT data, in spite of the fact that MOPITT a priori assumptions imply several difficulties, is also obtained.

Remote sensing of carbon monoxide by open-path FTIR spectroscopy: comparison of different analysis techniques

2004 ◽  
Author(s):  
Susana Briz ◽  
Sarai Diez ◽  
Antonio J. de Castro ◽  
Fernando Lopez ◽  
Klaus Schafer
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Ftir Spectroscopy ◽  
Analysis Techniques ◽  
Open Path

scholarly journals Water Pump Management Using Photovoltaic Plates in Santa Fe - Amazonas Community

2019 ◽  
Vol 7 (10) ◽  
pp. 595-604
Author(s):  
Antônio Jackson Sabino da Silva ◽  
Livia Da Silva Oliveira ◽  
David Barbosa de Alencar ◽  
Antônio Estanislau Sanches
Keyword(s):  
Water Supply ◽  
Photovoltaic System ◽  
Photovoltaic Systems ◽  
Santa Fe ◽  
Water Pump ◽  
Electricity Grid ◽  
Photovoltaic Energy ◽  
Water Pumping ◽  
Residential Water

Electricity in today's world is one of the biggest concerns. Through clean sources, photovoltaic systems emerge as an alternative to this kind of problem.This work proposes the development of a photovoltaic system that will be applied to water pumping using a pump. Through the presented data, it will be possible to analyze if the photovoltaic energy is reliable and to propose solutions to the problem of residential water supply in the communities that do not have access to the electricity grid.

scholarly journals The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation

2007 ◽  
Vol 7 (3) ◽  
pp. 8525-8569 ◽  
Author(s):  
S. R. Freitas ◽  
K. M. Longo ◽  
M. A. F. Silva Dias ◽  
R. Chatfield ◽  
P. Silva Dias ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Transport Model ◽  
Aerosol Particles ◽  
Atmospheric Modeling ◽  
Wave Radiation ◽  
Model Description ◽  
Tracer Transport ◽  
Regional Atmospheric Modeling System ◽  
Regional Atmospheric Modeling

Abstract. We introduce the Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS). CATT-BRAMS is an on-line transport model fully consistent with the simulated atmospheric dynamics. Emission sources from biomass burning and urban-industrial-vehicular activities for trace gases and aerosol particles are obtained from several published datasets and remote sensing information. The tracer and aerosol mass concentration prognostic includes the effects of sub-grid scale turbulence in the planetary boundary layer, convective transport by shallow and deep moist convection, wet and dry deposition, and plume rise associated with vegetation fires in addition to the grid scale transport. The radiation parameterization takes into account the interaction between aerosol particles and short and long wave radiation. The atmospheric model BRAMS is based on the Regional Atmospheric Modeling System (RAMS), with several improvements associated with cumulus convection representation, soil moisture initialization and surface scheme tuned for the tropics, among others. In this paper the CATT-BRAMS model is used to simulate carbon monoxide and particulate material (PM2.5) surface fluxes and atmospheric transport during the 2002 LBA field campaigns, conducted during the transition from the dry to wet season in the southwest Amazon Basin. Model evaluation is addressed with comparisons between model results and near surface, radiosonde and airborne measurements performed during the field campaign, as well as remote sensing derived products. We show the matching of emissions strengths to observed carbon monoxide in the LBA campaign. A relatively good comparison to the MOPITT data, in spite of the fact that MOPITT a priori assumptions imply several difficulties, is also obtained.

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