Smart Farming Using IOT

2021 ◽  
pp. 448-453
Author(s):  
Ms. Sunitha M ◽  
Kishore Kumar Reddy K ◽  
Venkateswara Reddy G ◽  
Paramesh Reddy B ◽  
Bhooma Reddy A
Keyword(s):  
Agricultural Sector ◽  
Irrigation System ◽  
Raspberry Pi ◽  
Water Pump ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Smart Farming ◽  
Project Monitoring ◽  
Android App ◽  
Sensor Temperature

In this Project we are designing based on irrigation control using Raspberry Pi, which is designed to tackle the problems of agricultural sector regarding irrigation system with available water resources. In this project, monitoring agriculture field we have used different sensors like soil moisture sensor, temperature sensor and rain sensor with raspberry pi. These monitoring data can be observed on android App. System is worked on two modes,1. auto mode 2. manual mode. In android app we can observe values of all sensors for every 5 or 10 seconds with time and date. According to that values user can on-off the water pump using android app, because it is smart system, it takes its own decision for on-off water pump

scholarly journals IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

2021 ◽  
Vol 12 (1) ◽  
pp. 21-36
Author(s):  
Brij Bhushan Sharma ◽  
Nagesh Kumar
Keyword(s):  
Irrigation System ◽  
Ph Sensor ◽  
Soil Condition ◽  
Water Pump ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Crop Field ◽  
Intelligent Irrigation ◽  
Paddy Crop ◽  
Water Pumps

IoT is a communal association of things or equipment that can interact with each other with the help of an internet connection. IoT services play an imperative responsibility in the industry of agriculture, which can feed 10 billion people worldwide by 2050. Irrigation systems are a backbone of agriculture that help to reduce wastage of water and decide the effective usage of water according to the specific crop and thereby increase the crop yield. In this paper, an irrigation system is developed to supervise the paddy crop field using sensors (soil moisture sensor, pH sensor, and flow sensor), and this irrigation system works based on the concept of IoT, so it is known as intelligent irrigation system (IIS). The soil condition data from sensors are sent to a web server database using wireless transmission to decide how much water needed. In the proposed server database, the data is saved, and the authors use the concept of a dashboard; it operates via http protocol to control water pump of farmland. The condition of soil is monitored based on the parameter of soil-like moisture and water flow amount using the IoT, which is capable to turn on/off water pumps. The used dashboard is developed using open source free server, namely “000webhost.” This paper has considered the paddy crop that is rice because water is essential for growth and development of rice plants. The experimental results show this system is more proficient than the existing conventional and unadventurous irrigation approach.

scholarly journals Design and implementation of irrigation prototype system based GSM

2021 ◽  
Vol 4 (2) ◽  
pp. 77-81
Author(s):  
Muhammad Fahim. Obead ◽  
Ihsan Ahmed Taha ◽  
Ahmed Hussein Salaman
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Cellular Phone ◽  
Modern Technology ◽  
Prototype System ◽  
Water Pump ◽  
Sensor Reading ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Message Service

Smart farming is one of the keys for future agriculture because it is a management to use modern technology for increasing the quality and quantity of the agriculture. And because of the planet quality depend on the amount of water and the characteristics of soil, it is necessary to study the soil using the soil moisture sensor to investigate whether the soil is dry or wet, also to consider the challenges that could be faced in agricultural environment by maintain the soil and the planets irrigated without extra usage of water. In this paper, a prototype irrigation system uses Arduino Uno microcontroller which is programmed in C++ language to sense the degree of moisture by using soil moisture sensor. According to moisture sensor readings, when the moisture sensor above 1000, Arduino triggers to supply the water by using 5V mini water pump and stop when the soil moisture sensor reading reaches below 400. GSM technology enables the user to be notified in any changes happening in agricultural area by sending SMS (Short Message Service). Whenever the soil become wet or dry and the mini water pump switched on or off, a message delivered to user’s cellular phone indicating the condition of the soil and the action of water pump. In that capacity, this prototype will reduce the time for the user by monitoring remotely without going to his land, and also to reduce the usage of water by allow the water pump to flow the water for limited time until the moisture degree raise again.

scholarly journals Smart Irrigation System Using IOT

2019 ◽  
Vol 8 (12S) ◽  
pp. 183-186
Keyword(s):  
Soil Moisture ◽  
Automatic Control ◽  
Irrigation System ◽  
Work Force ◽  
Manual Control ◽  
Water Pump ◽  
Moisture Sensor ◽  
Agriculture Sector ◽  
Soil Moisture Sensor

The agriculture sector is biggest sector of India it provides employment to 50% work force of India. Each and every sector of India is directly or indirectly connected to agriculture sector, despite of this the development in technology is very less. Farmers are still using conventional techniques for farming, the developed technologies are either expensive or does not required by farmer. In this paper a Smart irrigation system is discussed which is economical and have great impact on irrigation system. The system controlled in two modes first is manual and second is automatic control for controlling the operation of water pump. The pump is controlled by using Atmega328P IC which is programmable in nature using relay as switch and taking the feedback from soil moisture sensor and rain sensor for controlling the water pump. The manual control is done by using HTML webpage by BOLT IoT module.

Sistem Pemantau Kondisi Lingkungan Pertanian Tanaman Pangan dengan NodeMCU ESP8266 dan Raspberry Pi Berbasis IoT

2021 ◽  
Vol 5 (3) ◽  
pp. 496-503
Author(s):  
Agus Ambarwari ◽  
Dewi Kania Widyawati ◽  
Anung Wahyudi
Keyword(s):  
Environmental Conditions ◽  
Precision Agriculture ◽  
Agricultural Land ◽  
Sensor Data ◽  
Raspberry Pi ◽  
Moisture Sensor ◽  
The Public ◽  
Soil Moisture Sensor ◽  
Sensor Temperature ◽  
The Internet Of Things

The increasing need for food is not in line with the clearing of agricultural land for food crops. So that the effort to increase the productivity of agricultural products is by applying precision agriculture. However, in reality, precision agriculture is difficult to apply to conventional processes, where farmers come to the farm, collect data, then carry out maintenance. This method will make production results not optimal because maintenance is not done accurately. This study introduces a monitoring system for environmental conditions based on the Internet of Things (IoT) for agricultural land, where trials are carried out in a greenhouse. The system that has been developed consists of several sensors designed to collect information related to agricultural environmental conditions, including DHT22 sensor (temperature and humidity), DS18B20 sensor (soil temperature), soil moisture sensor (moisture content in the soil), and BH1750 sensor (light intensity). Based on the Message Queuing Telemetry Transport (MQTT) protocol, the data is sent to a gateway (Raspberry Pi) and a local server via a wireless network to be stored in a database. By using the Node-RED Dashboard, the received sensor data is then displayed on the browser every time the sensor sends data. In addition, the local server also publishes sensor data to the public MQTT broker so that sensor data can be accessed through the MQTT Dashboard application on a smartphone. The results of testing for 25 days of the system running obtained an average success of the system in storing data of 99.64%.

scholarly journals PV Based Automatic Irrigation System

2021 ◽  
Vol 9 (12) ◽  
pp. 21-30
Author(s):  
M. Sreenivasulu Naik
Keyword(s):  
Water Conservation ◽  
Single Channel ◽  
Irrigation System ◽  
Low Cost ◽  
Reservoir Water ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
World Energy ◽  
Human Effort ◽  
Solar Powered

Abstract: In Because of the lack of rains and scarcity of land reservoir water, proper irrigation methods are critical in the field of agriculture. The continuous extraction of water from the earth is lowering the water level, causing a lot of land to slowly come into the unirrigated zones. Another important reason for this is because of unplanned water use, which wastes a significant amount of water. This automatic plant irrigation system is used for this purpose. Solar energy is used to power the system via photovoltaic cells. As a result, there is no need to rely on erratic commercial power. In this digital age, we demand that everything around us be automated, reducing human effort. Electronic circuits are becoming more prevalent, making life easier and simpler in today's world. Energy and water scarcity are two major issues that everyone is dealing with these days. As a result, energy and water conservation are required. The goal is to create a solar-powered prototype that will automatically irrigate the field. Consider how convenient it will be to be able to focus on your next task while your field is being irrigated automatically and at a low cost. No worries about underirrigation or over-irrigation, water waste or expensive electricity, or your busy schedule. Keywords: Arduino Uno-Soil Moisture Sensor Submersible Water Pump - Single Channel Relay - Solar Panel - LCD Display - Buzzer - IDE

Evaluation of a soil moisture sensor to reduce water and nutrient leaching in turfgrass (Cynodon dactylon cv. Wintergreen)

2007 ◽  
Vol 47 (2) ◽  
pp. 215 ◽  
Author(s):  
S. M. Pathan ◽  
L. Barton ◽  
T. D. Colmer
Keyword(s):  
Soil Moisture ◽  
Cynodon Dactylon ◽  
Irrigation System ◽  
Irrigation Scheduling ◽  
Couch Grass ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Application Rates ◽  
Controlled Irrigation ◽  
Conventional Irrigation

This study evaluated water application rates, leaching and quality of couch grass (Cynodon dactylon cv. Wintergreen) under a soil moisture sensor-controlled irrigation system, compared with plots under conventional irrigation scheduling as recommended for domestic lawns in Perth, Western Australia by the State’s water supplier. The cumulative volume of water applied during summer to the field plots of turfgrass with the sensor-controlled system was 25% less than that applied to plots with conventional irrigation scheduling. During 154 days over summer and autumn, about 4% of the applied water drained from lysimeters in sensor-controlled plots, and about 16% drained from lysimeters in plots with conventional irrigation scheduling. Even though losses of mineral nitrogen via leaching were extremely small (representing only 1.1% of the total nitrogen applied to conventionally irrigated plots), losses were significantly lower in the sensor-controlled plots. Total clippings produced were 18% lower in sensor-controlled plots. Turfgrass colour in sensor-controlled plots was reduced during summer, but colour remained acceptable under both treatments. The soil moisture sensor-controlled irrigation system enabled automatic implementation of irrigation events to match turfgrass water requirements.

The Design of Intelligent Water-Saving Irrigation System for Greenhouse

2011 ◽  
Vol 121-126 ◽  
pp. 4826-4831
Author(s):  
Fu Gang Wang ◽  
Li Jia Xu ◽  
Chun Long Du ◽  
Yang Yang ◽  
Ye Sen Li
Keyword(s):  
Water Consumption ◽  
Radio Frequency Identification ◽  
Precision Agriculture ◽  
Irrigation System ◽  
Water Saving ◽  
High Yield ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Control Interface ◽  
Frequency Identification

In the premise of ensuring the high yield of the crops in greenhouse, how to save water has became a research focus in precision agriculture. An intelligent water-saving irrigation system based on fuzzy control is designed in the paper. By the proposed system, the best water consumption can be calculated to meet the goal of high yield but low water-using. In the system, the soil moisture sensor TDR-3 is used to measuring the soil humidity data, whiles the radio frequency identification (RFID) modules, i.e., nRF905, is applied to transmit the data wirelessly. The control interface based on LABVIEW on PC is designed as well. Thus the goal of saving water consumption and querying historical data can be accomplished.

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