Solar Powered Automated Irrigation System in Rural Area and their Socio Economic and Environmental Impact

2021 ◽  
Vol 10 (1) ◽  
pp. 17-28
Author(s):  
Muhammad Tamoor ◽  
Paris ZakaUllah ◽  
Mehwish Mobeen ◽  
Muhammad Ans Zaka
Keyword(s):  
Environmental Impact ◽  
Rural Area ◽  
Irrigation System ◽  
Solar Powered ◽  
Automated Irrigation System

scholarly journals Solar Powered Microcontroller-based Automated Irrigation System with Moisture Sensors

2019 ◽  
Vol 1378 ◽  
pp. 032003
Author(s):  
C. A. Bolu ◽  
J. Azeta ◽  
F. Alele ◽  
E. O. Daranijo ◽  
P. Onyeubani ◽  
...  
Keyword(s):  
Irrigation System ◽  
Solar Powered ◽  
Automated Irrigation System

scholarly journals Solar Powered Smart Irrigation System

2021 ◽  
pp. 898-901
Author(s):  
Bhavna Dhole ◽  
Pratiksha Patle ◽  
Onkar Patole ◽  
Suprriya Lohar
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Cost Effective ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Energy Needs ◽  
Electricity Crisis ◽  
Remote Station ◽  
Solar Powered ◽  
Automated Irrigation System

This paper addresses water scarcity and electricity crisis by designing and implementing smart irrigation system. This system presents the details of a solar-powered automated irrigation system that turns ON/OFF the motor to pass water through the pump required to soil depending on the soil moisture, hence this system minimize the wastage of water. Soil moisture sensor sense the humidity of soil which is transmitted to a remote station. This data will be analyzed and used to pass out water by water pump. This system conserves electricity and conserves water. It is the proposed solution for the now a days energy crisis for the Indian farmers. Cost-effective solar power can be the answer to our energy needs. Solar powered smart irrigation systems are the acknowledgement to the Indian farmer.This system does not work at night in areas without a grid.

scholarly journals IoT based Solar Powered Irrigation System and Farm Monitoring

2019 ◽  
Vol 8 (9) ◽  
pp. 544-547
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Web Server ◽  
Threshold Level ◽  
Basic Operation ◽  
Water Deficiency ◽  
Smart Farming ◽  
Solar Powered ◽  
Automated Irrigation System ◽  
Soil Level

Agriculture plays a important role in Indian economy. The main issues which are faced in farming are water deficiency and high costs expected by labours. These major issues can be solved using smart automated irrigation system. So we proposed an renesas based smart farming using solar panel. This system consists of 3 sensors temperature, soil moisture and luminosity and senses the soil level. when soil moisture is less than the threshold level, the water is pumped to the crop. Various numbers of operations are performed in the agriculture field. Very basic operation is seeding. But the present methods of seeding are problematic. The equipments which are used for seed sowing are inconvenient to handle. So there is a need to develop the system which reduce the efforts of farmers. This system introduces a efficient mechanism which aims to drop seeds at desired position with specified distance between two seeds and lines while sowing. These operations are controlled by the human using mobile using GSM. The Reneses controller passes the information which is gathered from various sensors to Amazon web server utilizing GPRS.

scholarly journals Design and Development of Solar Powered Intelligent Irrigation & Water Management System using Data Science

2020 ◽  
Vol 32 ◽  
pp. 01008
Author(s):  
Atharva Saney ◽  
Ayush Guha ◽  
Amey Parulekar ◽  
Sharad Jadhav
Keyword(s):  
Data Science ◽  
Irrigation System ◽  
Machine Learning Algorithms ◽  
Water Storage Tank ◽  
Moisture Percentage ◽  
The Difference ◽  
Solar Powered ◽  
Using Data ◽  
Intelligent Irrigation ◽  
Automated Irrigation System

India is an agricultural country. Agriculture and its allied activities act as main source of livelihood for more than 80 percent population of rural India. Available irrigation systems are not efficient and lead to wastage of water. Literature revels that there is need to develop automated irrigation system with latest technology. In this paper we are proposing a system which will detect the moisture percentage of the respective farmland and compare it with the provided set point. Based on the difference our machine learning algorithms will decide how long the water pump will remain switched on, it will then close the pump after that particular time and give out final moisture percentage reading and final water level of the water storage tank. Also, there will be a website provided which will continuously show current moisture percentage, amount of water present in the tank, how long water in the tank will last, the usage statistics and predict preferred and non- preferred crop to grow in that particular season. Plus a manual override will be provided for all systems.Usage statistics will consist of a graph showing water usage vs day. System display will show amount of water used vs date and below that the median and mode of the outcomes will also be indicated. Proposed in-house designed system has potential to provide the list of preferred and non-preferred crops.

scholarly journals Solar Powered Automated Irrigation System with Plant Health Indication using IoT

2019 ◽  
Vol 8 (2S11) ◽  
pp. 60-64
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Plant Health ◽  
Not Given ◽  
Automated Systems ◽  
Human Labor ◽  
High Care ◽  
Scale Down ◽  
Solar Powered ◽  
Automated Irrigation System

Horticulture is a field where robots are not given a significant importance. Since we are mainly concentrating on medicinal plant they require high care. In this field, the demand for robots and automated systems are increasing hence in the course of this paper we made an attempt to scale down human labor by creating an automation which is able to indicate plant health. The aim of this paper is creating a farming automation which is able to indicate the plant health by observing color of their leaves and to provide the automated irrigation system. The automation will note encompassing environmental conditions like temperature, soil moisture and pH it will be displayed in order that automation can decide health of the plant particular pesticides will be sprayed and the entire project is powered by solar using MPPT.

scholarly journals Design and development of an Irrigation Mobile Robot

2021 ◽  
Vol 10 (2) ◽  
pp. 75
Author(s):  
Ahmed Hassan ◽  
Rao M. Asif ◽  
Ateeq Ur Rehman ◽  
Zuhaib Nishtar ◽  
Mohammed K. A. Kaabar ◽  
...  
Keyword(s):  
Natural Resources ◽  
Soil Ph ◽  
Resource Use ◽  
Weather Forecasting ◽  
Irrigation System ◽  
Water Usage ◽  
Temperature Level ◽  
Solar Powered ◽  
Automated Irrigation System ◽  
Effective Water

Water plays a significant role among other existing natural resources. The daily demand for water supplies is increasingly on the rise as the population grows. To minimize the consumption of water in irrigation, several proposals were suggested. The currently existing system known as the automated irrigation system for effective water resource use with the prediction of the weather (AISWP) functions with a single farm that lacks the reliability in the precision of weather forecasting. So, a robot-based irrigation system has been proposed to improve the performance of the system. To minimize the water usage for crops, an automated irrigation system has been developed which irrigates the field in acres. An additional characteristic of the system has also been given for the soil pH measurement to allow the use of fertilizers accordingly. The solar-powered robot is managed wirelessly by a designated application. The robot is attached with various sensors and with a highresolution camera that tests crop conditions and senses the soil state. The application has been created to provide information about the soil’s condition such as temperature level, humidity level, water level, and level of nutrients to the PC/Laptop with the real-time values via the GSM module.

Enhancing effectivity of automated irrigation system using fuzzy logic

2021 ◽  
Author(s):  
S. Krishna Bhat ◽  
Sukanya S. Kumar ◽  
Keerthana Krishnakumar ◽  
Sherin Shaju ◽  
Pankaj Kumar G.
Keyword(s):  
Fuzzy Logic ◽  
Irrigation System ◽  
Automated Irrigation System

An automated irrigation system for optimized greenhouse using IoT

2021 ◽  
Author(s):  
E. Seethalakshmi ◽  
Meenakshi Shunmugam ◽  
R. Pavaiyarkarasi ◽  
Sneha Joseph ◽  
J. Edward paulraj
Keyword(s):  
Irrigation System ◽  
Automated Irrigation System

scholarly journals Consumption Rates and Use Patterns of Firewood and Charcoal in Urban and Rural Communities in Yedashe Township, Myanmar

Forests ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 429 ◽  
Author(s):  
Zar Win ◽  
Nobuya Mizoue ◽  
Tetsuji Ota ◽  
Tsuyoshi Kajisa ◽  
Shigejiro Yoshida
Keyword(s):  
Rural Communities ◽  
Environmental Impact ◽  
South Asia ◽  
Urban Area ◽  
Rural Area ◽  
Urban Areas ◽  
Fuel Use ◽  
Urban Households ◽  
Use Patterns ◽  
Consumption Rates

There is concern over the environmental impact of charcoal use for cooking in urban areas; however, studies have mainly been limited to Africa and South Asia. This investigation aimed to evaluate woodfuel consumption rates and patterns in an urban area in Yedashe Township, Myanmar and compared them with results from a rural area in the same township. From interviews with 66 urban households, it was evident that firewood and charcoal consumption rates in the urban area were about one-third and one-fourth, respectively, of those in the rural area. These low consumption rates were because of multiple-fuel use (mainly woodfuel and electricity) in the urban area in contrast to single-fuel use in the rural area. We estimated the forest area required to meet woodfuel demand of the whole township to be 3738 ha; that could decrease by almost 40% (1592 ha) if the single-fuel use in the rural area switched to the multiple-fuel methods used in the urban area. This study confirms that urbanization with an “energy stack” in multiple-fuel use, rather than an “energy ladder” from firewood to charcoal, could largely reduce the environmental impact on forests.

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