smart irrigation system
231851029
Robust Smart Irrigation System using Hydroponic Farming based on Data Science and IoT
Agriculture has become passion in developing countries like India. People are encountering lot of problems in the field of agriculture. Even today in India in many places traditional way of farming is being practiced which requires human intervention. Due to technological advanced the present people are interested towards smart irrigation system than traditional farming. Due to lack of time people are not able to spend time in traditional farming, to assist the people who are in urban and metropolitan cities, Hydroponic farming, an approach of smart irrigation system is implemented in this paper. In the traditional framing technique water and space is abundantly required, this irrigation approach minimizes the use of water and reduces the space. This proposed work aims to build an automated irrigation farming system that incorporates the data from all the sensors connected to the Raspberry pi and transferred to IoT server through the network. Meanwhile the data stored data can be read to know the status of the system by the user on web based application. Knowing the status of the system the user can turn on/off the motor to water the system when required. The plants growth can be predicted by collecting the data of sensor readings using machine learning technique.
2020 IEEE Bangalore Humanitarian Technology Conference (B HTC)
Punya Prabha V Sarala S M Sharmila Suttur C
225695700
Development of a Model and Sensor Based Smart Irrigation System
Water availability is a critical variable for virtually every economic activity, including agriculture and industry, the energy sector and public use. Specifically, Farmers could waste thousands of cubic meters of water daily through Irrigation. This project developed a smart irrigation system capable of making autonomous decision of irrigating the soil with an appropriate amount of water required through monitoring of soil irrigation factors. The soil moisture level and the rainfall status were the soil irrigation factors considered. The threshold values of the irrigation factors required for soil to be irrigated were established. Subsequently, a system was developed to sense the soil irrigation factors and monitor when the threshold values are reached so that necessary information is communicated to switch on or off a water pump designed for irrigation purpose. The system is implemented with a PIC16f876A microcontroller. The results of performance evaluation conducted on the system revealed that the system is able to monitor and estimate the soil irrigation factors with good accuracy. Also, the system is able to start the water pump to irrigate soil and stop it as appropriate depending on whether the soil irrigation factors value indicates need for irrigation or not. Keywords: Irrigation; Autonomous; System; Microcontroller; Threshold.
Tunde Ogedengbe O Eta A A Ogunbiyi
226211299
Smart Irrigation System Using IOT and ML
Agriculture is one of the most fundamental resources of food production and also plays a vital role in keeping the economy running of every nation by contributing to the Gross Domestic Production. But there are several issues related to traditional methods of agriculture such as excessive wastage of water during irrigation of field, dependency on nonrenewable power source, time, money, human resource, etc. Since every activity nowadays becoming smart it needs to smartly develop agriculture sector for the growth of the country. The Smart Irrigation System using IoT and Machine Learning projects present a system through which the water utilization is monitored according to the soil moisture and environmental conditions. A machine learning model is used to estimate the growth of the shoot length using the above gathered parameters and assist the farmer. Various sensors like Soil moisture sensors are used to record the soil moisture levels and soil pH levels, the humidity, and temperature is measured using DHT11 a basic, ultra low cost digital temperature, and humidity sensor. This data is analyzed to generate two outputs. The first is to decide the amount of water required henceforth using current and past data to automatically triggering the irrigation system. The second is to capture the image of the plant by using stationary camera and after clicking the picture if there is any problem or defect, it will immediately notify the farmer to take some action. This will reduce the efforts of the farmer and help to improve quality farming.
Tushar V Dhurjad Ankita S Bhadane Shruti N Borse Rohit S Dhurjad
230120104
A Study on Smart Irrigation System using IoT Machine Learning
1Electronics and Computer Science, KIIT, Bhubaneshwar 2Electronics and Telecommunications, KIIT, Bhubaneshwar Abstract Irrigation intakes 70% of the world's fresh water supply and often due to errors in various management systems or carelessness, this investment gets wasted. With freshwater becoming scarce, proper planning must be done at the earliest for water management. Our proposed methodology for Smart Irrigation System solves this purpose to a much impact able extent. The solar powered system extensively uses the Internet of Things (IoT) as a medium to automate the procedure. From collecting data from the sensors that can be used in irrigation, it provides an end to end user interface. We are implementing Machine Learning algorithms to analyse the collected data on a real time scenario and predict future tendencies accordingly. Augmented Reality can also be further used to show the analysed report for better user experience. This whole proposal is going to be a milestone controlling the whole process of irrigation thus minimizing human error, unwanted spills, damage charges and a lot of other harmful factors for the land thus increasing the overall revenue of the user. Smart Irrigation system targets boosting the industry of irrigation and cultivation with the use of modern developing technology on a grass root level of society.
Moinak Bose Sourodip Ghosh
231686593
Development of a Pilot Smart Irrigation System for Peruvian Highlands
With growing developments in the technology of cloud storage and the Internet of Things, smart systems have become the latest trend in major agricultural regions of the world. The Arequipa and Caylloma provinces of Peru are highly productive agricultural areas that could benefit from these technologies. This region has low precipitation, generally less than 100 mm per year. Electricity is not available in most of the agricultural fields, limiting the types of irrigation methods and technologies that can be supported. Currently, 20 ponds supplied by water runoff from the Andean glaciers are used for irrigating approximately 545 hectares of land in the Majes district (Caylloma province) In order to develop optimal techniques for water irrigation in Arequipa and improve the infrastructure, there is a need for development of a smart water irrigation system applicable to the existing conditions in the region. The current study proposes a pilot smart water irrigation framework comprised of a drip irrigation module, wireless communication module, and a sensor network for intelligently regulating water flow from the cloud. In this study, a TEROS 12 soil moisture sensor is connected to a Digi XBee wireless module for collecting measurements of volumetric water content, temperature, and electrical conductivity, which are sent through a secure IP gateway to the cloud. A user friendly web interface is available for end users to access and analyze real time data. The proposed framework is easily implementable, low cost, and is predicted to conserve water through optimization of irrigation cycles based on a set moisture threshold.
Santiago Guevara Yogang Singh Austin Shores Juan Mercado Mauricio Postigo Jose Manuel Hernandez Garcia Brittany A Newell
219418652
Smart Irrigation System using Arduino with Solar Power
This paper deals with the innovative technology in considering the various ways to irrigate the agricultural land using solar power. Since the agriculture plays the significant role in improving the country's economy, an improvement should be applied in order to increase the productivity and expand the quality of crops. So, this project signifies a smart Auto irrigation system by using soil moisture sensors is connected to the Arduino Uno which act as a controller and a global System for mobile communication which is used to transmit and receive the data between the controller and user. The study is conducted in practically and has achieved the
226400867
MOBILE INTEGRATED SMART IRRIGATION SYSTEM USING IOT
Todays world, the scarcity and usage of water is increasing day by day, it is very much important to conserve water for the future generation. The water requirement is very much needful for irrigation system and at a same time, proper management of water is also very much important with the available sources. Therefore a smart system is essential to manage the same. These papers present a smart system developed for irrigation system using IoT (internet of things) The main purpose of this system is to periodically monitor the soils moisture, humidity and temperature levels which are very much required for the crops, based on requirements, the water supply is pumped to the field and at the same time the farmer will receive the real time information to farmer's smart phone.
M AvinashC M G Girish S Manjunath R Shashikumar
220860303
A study on smart irrigation system on a watershed
Automatic irrigation system was carried out on a small area. The study was confined to Parlakhemundi area of Gajapati district situated in agro climatic zone 5. The main focus of the study is to plan automatic irrigation, when the soil moisture level decreases to certain extent then only irrigation is provided and the other is to check the accuracy of the sensors compared to other instruments in our given plot. As irregular irrigation causes lot of wastage of water. So, in order to save water and time IOT has been used (PC based) There are various sensors like temperature, humidity, soil moisture sensors which senses the various parameters of the soil and based on soil moisture value land gets automatically irrigated by ON/OFF of the motor. A comparison between the recordings i.e for soil moisture, recordings of both tensiometer and sensors are taken and the error between them is detected. Likewise for temperature and humidity both the recordings are compared and error is detected. Mulches i.e. straw, grass, saw dust and combination of saw dust and grass is taken into account.
Sonali Swagatika Prabhat Ranjan Khakha Saphalya sunder Sahoo A K Nayak
230511996
Solar Based Smart Irrigation system Using IoT:A Review
India have huge land under agricultural, about 58% of peoples are depends directly or indirectly upon the farming; so the agriculture has important role in Indian economy. Now due to huge climate changes, monsoon does not come on time so for regularity of farming it is high necessity of irrigation system. Irrigation increase the farming efficiency and increases the yield. This paper focused on improvement of water management practice in irrigation which are suffering from the various operational deficiencies like load shading. Conventional irrigation system runs on the electricity and the diesel, so for that lots of conventional energy is wasted which can be easily replaced by the solar energy. And automation in irrigation saves the time, energy recourses and most important water. The objective of this paper is to present the literature review from the conventional methods of irrigation to recent trends in irrigation and automatic irrigation presently available in market and some which are under research stage. This paper will also review the comparison between solar based irrigation and the other energy based irrigation based on various parameters.
2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)
Prachi S Kulkarni Jitendra Rajendra Rana
219008519
Agrinex: A low cost wireless mesh based smart irrigation system
Abstract Wireless Sensor Networks in precision agriculture utilize natural resources more efficiently by collecting real time data on farms to assist agriculture farmers to make intelligent decisions. Using this technology, farmers can effectively use the information to achieve greater yields and earn higher profits. This work presents an alternative to existing monitoring methods in the agricultural lands whilst providing an irrigation mechanism to help in resource conservation efforts by the use of a Wireless Sensor and Actuator Network (WSAN) Agrinex system features a mesh like configuration of in field nodes that act both as the sensor for soil moisture, temperature and humidity and actuator on a valve that regulates drip irrigation. The mesh based network is dynamically design to allow self reorganization of sensor nodes when changes happen in the network. The resulting Agrinex system is a promising start for a WSAN framework of various applications particularly in agriculture.
Nestor Michael C Tiglao Melchizedek I Alipio Jezy Verence Balanay Eunice Saldivar Jean Louise Tiston