Internet Of Things (IoT)is a shared network of objects or things which can interact with each other provided the internet connection. IoT plays an important role in agriculture industry which can feed 9.6 billion people on the Earth by 2050. Smart Agriculture helps to reduce wastage, effective usage of fertilizer and thereby increase the crop yield. In this work, a system is developed to monitor crop-field using sensors (soil moisture, temperature, humidity, Light) and automate the irrigation system. The data from sensors are sent to web server database using wireless transmission. In server database the data are encoded in JSON format. The irrigation is automated if the moisture and temperature of the field falls below the brink. In greenhouses light intensity control can also be automated in addition to irrigation. The notifications are sent to farmers' mobile periodically. The farmers' can able to monitor the field conditions from anywhere. This system will be more useful in areas where water is in scarce. This system is 92% more efficient than the conventional approach.

IOT based crop-field monitoring and irrigation automation

Interconnection of number of devices through internet describes the Internet of things (IoT). Every object is connected with each other through unique identifier so that data can be transferred without human to human interaction. It allows establishing solutions for better management of natural resources. The smart objects embedded with sensors enables interaction with the physical and logical worlds according to the concept of IoT. In this paper proposed system is based on IoT that uses real time input data. Smart farm irrigation system uses android phone for remote monitoring and controlling of drips through wireless sensor network. Zigbee is used for communication between sensor nodes and base station. Real time sensed data handling and demonstration on the server is accomplished using web based java graphical user interface. Wireless monitoring of field irrigation system reduces human intervention and allows remote monitoring and controlling on android phone. Cloud Computing is an attractive solution to the large amount of data generated by the wireless sensor network. This paper proposes and evaluates a cloud-based wireless communication system to monitor and control a set of sensors and actuators to assess the plants water need.

IoT based smart irrigation monitoring and controlling system

Framework for a Smart Water Management System in the Context of Smart City Initiatives in India

Dearth of fresh water worldwide has given rise to solemn alarms since a decade. Economical administration of water resources plays a critical role when it is mainly with reference to the agriculture zone. Irrigation is generally functions along with canal plan by which water is pumped up into fields once at regular period of time according to farmers habitual ways without appropriate measurements with none feedback of water level in field. This kind of irrigation method will definitely hinder the crop growth and health and produces a poor yield as a result of some crops area component too susceptible to water content in soil. The ingenuous ICT technique presents an insolent system that uses minimum value soil wetness sensing element and temperature sensing element to manage facility in water shortage regions. The sensor, those vocations on the standard of moisture reliant resistance amendment between two points within the soil, is invented with the help of low cost materials and ways. Moisture and temperature knowledge is fetched from a sensing element node is distributed through an Arduino to a centralized server that controls facility. An automaton application is developed to envision the daily wetness and temperature knowledge. Moreover, the planned wetness sensing and temperature sensing ways have the power to be incorporated into machine-controlled which is automatic irrigation theme and perform automated, exactness agriculture in conjunction with de-centralized water management system. Application results illustrate that system through the embedded controlled technology which makes it complete intelligent irrigation, enhance the agricultural produce and improve soil health by irrigation, the water is used fruitfully and irrigation system automation is achieved mostly in all aspects.

Automation of irrigation system through embedded computing technology

Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this paper, we propose an intelligent approach for efficient plant irrigation that has a database of daily water needs of a type of plant and decides the amount of water for a plant type on the basis of the current moisture in soil, humidity, and time of the day. This approach not only saves sweet water by efficient utilization, but also supports smart consumption of energy. Our approach employs IoT and a set of sensors to efficiently record plant data and their watering needs and the approach is implemented with a mobile phone application interface that is used to continuously monitor and control the efficient watering system. The results of this study are easy to reproduce as the sensors used are cheap and easy to access. The study discusses in this paper is experimented on small area (such as tunnel farm) but the results of the experiments show that the used approach can be generalized and can be used for large size fields for efficient irrigation. The results of the experiments also outperform the manual approach and the similar approaches for sensor based irrigation systems.

https://www.mdpi.com/1996-1073/11/12/3427/pdf

Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming

Deficiency in fresh water resources globally has raised serious alarms in the last decade. Efficient management of water resources play an important role in the agriculture sector. Unfortunately, this is not given prime importance in the third world countries because of adhering to traditional practices. This paper presents a smart system that uses a bespoke, low cost soil moisture sensor to control water supply in water deficient areas. The sensor, which works on the principle of moisture dependent resistance change between two points in the soil, is fabricated using affordable materials and methods. Moisture data acquired from a sensor node is sent through XBEE wireless communication modules to a centralized server that controls water supply. A user-friendly interface is developed to visualize the daily moisture data. The low-cost and wireless nature of the sensing hardware presents the possibility to monitor the moisture levels of large agricultural fields. Moreover, the proposed moisture sensing method has the ability to be incorporated into an automated drip-irrigation scheme and perform automated, precision agriculture in conjunction with de-centralized water control.

Smart irrigation using low-cost moisture sensors and XBee-based communication

Deficiency in fresh water resources globally has raised serious alarms in the last decade. Efficient management of water resources play an important role in the agriculture sector. Unfortunately, this is not given prime importance in the third world countries because of adhering to traditional practices. This paper presents a smart system that uses a bespoke, low cost soil moisture sensor to control water supply in water deficient areas. The sensor, which works on the principle of moisture dependent resistance change between two points in the soil, is fabricated using affordable materials and methods. Moisture data acquired from a sensor node is sent through XBEE wireless communication modules to a centralized server that controls water supply. A user-friendly interface is developed to visualize the daily moisture data. The low-cost and wireless nature of the sensing hardware presents the possibility to monitor the moisture levels of large agricultural fields. Moreover, the proposed moisture sensing method has the ability to be incorporated into an automated drip-irrigation scheme and perform automated, precision agriculture in conjunction with de-centralized water control. Keywords—smart irrigation; moisture sensors; Xbee communication;

T. Vadamala

Papers

Smart irrigation using low-cost moisture sensors and XBee-based communication

Smart Irrigation Using LowCost Moisture Sensors and XBeebased Communication