scholarly journals Implementation Of Automated System For The Reservoir 66 of the Irrigation System Chambo Guano

2020 ◽  
Author(s):  
C Angel Silva ◽  
Victor Asanza ◽  
Nathaly Sanchez ◽  
Juan Arias
Keyword(s):  
Irrigation System ◽  
Automated System

scholarly journals Automatic Irrigation System using Wireless Control

2019 ◽  
Vol 18 (3-2) ◽  
pp. 42-46
Author(s):  
Muhammad Rusydi Muhammad Razif ◽  
Preetharan Ravindran ◽  
Ili Najaa Aimi Mohd Nordin ◽  
Nor Saradatul Akmar Zulkifli
Keyword(s):  
Water Consumption ◽  
Mobile Application ◽  
Root Zone ◽  
Irrigation System ◽  
Sprinkler System ◽  
Water Soluble ◽  
Automated System ◽  
Drainage Ditches ◽  
Wireless Control ◽  
The Cost

Traditional methods of irrigation and fertilizing is very time consuming for farmers. Over-irrigation as well as leaching of fertilizers below the root zone, erosion, and transport of soil and chemical particles to the drainage ditches can increase energy and water consumption in farming. A single systems combining irrigation and fertilizing will greatly reduce the cost and time needed in farming. There are two types of fertilizers available for home gardener – granular and water-soluble fertilizers. Generally, granular fertilizers release nutrient gradually but can last longer than water-soluble fertilizers. This project will provide an automated system for irrigation and fertilizing for plantation using Arduino as the microcontroller. This system will include a mobile application to control the amount of water during the irrigation and fertilizing processes. The microcontroller communicates with the mobile application via internet using the Wi-Fi modulator. Then, the microcontroller processes the information and operates the irrigation and fertilizing pumps which supplies water and fertilizer through the sprinkler system in the field. Any feedback will be sent to the user through the mobile application.

Leachate and Irrigation Sensor Development and Performance in Container Nursery Production

2021 ◽  
Vol 37 (1) ◽  
pp. 65-75
Author(s):  
Quinn Cypher ◽  
Amy Fulcher ◽  
Wesley C. Wright ◽  
Xiaocun Sun ◽  
Lauren Fessler
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Closed Loop ◽  
Irrigation System ◽  
Irrigation Schedule ◽  
Automated System ◽  
Individual Plant ◽  
List Type ◽  
Overhead Irrigation ◽  
Leaching Fraction

HighlightsUsing leaching fraction to schedule irrigation is recommended yet no automated measurement system exists.Sensors were developed to automatically measure leachate and irrigation within a sensor network.There was no difference between sensor measured and manually captured volume for sensors deployed in a nursery.After deployment in commercial nurseries, sensors accurately measured leachate and irrigation within 10% margin.Abstract. Nursery crops are often over-irrigated, resulting in wasted water and agrochemical inputs. Irrigating based on leaching fraction is recommended, yet an automated system for measuring and recording nursery container effluent (leachate) does not exist. The objective of this research was to develop and test a sensor-based system for real-time leachate and irrigation measurement in outdoor commercial nurseries. Sensors were developed to automatically measure irrigation and leachate volume in container nurseries that use overhead irrigation with the goal of facilitating the development of an automated leaching fraction-based irrigation system. Sensors were built using readily available components, including tipping bucket mechanisms calibrated to either 4.7 or 8.2 mL per tip, and were designed and constructed to function with commonly used 3.8-, 11.4-, and 14.5-L nursery containers. Sensor networks were developed in order to collect data from the sensors. Sensors were deployed at three commercial nurseries and tested using closed- and open-loop tests. Initially, a closed-loop test was performed on a subset of the sensors to test the integrity of the sensor-container system when subjected to an overhead irrigation delivery system. Following closed-loop tests, sensors were subjected to tests utilizing directed applications of water to compare sensor measurements with the volume of water applied and to compare sensor measurements over time (pre- and post-season). There was no difference between leachate measured by sensors and leachate captured and measured manually in closed-loop tests (p = 0.0570). In directed applications, sensors measured water flow with less than 3% margin at the beginning of the season (p = 0.0485) and less than 10% margin at the end of the season (p = 0.0390) regardless of container size. Pre- and post-season comparisons showed equivalence at the 10% margin for the 4.7-mL tipping bucket size (p = 0.0043) and at 5% for those calibrated to 8.2 mL per tip (p = 0.0198). Sensors deployed in commercial nurseries accurately measured leachate and irrigation within a 10% margin in real-time, on an individual plant scale, making them a viable option for a leaching fraction-based irrigation schedule. Keywords: Container effluent, Container-grown plants, Leaching fraction, Irrigation schedule, Sensor network.

scholarly journals APPLICATION OF IOT AND BIG DATA TECHNOLOGIES TO INCREASE THE PRODUCTIVITY OF AGRICULTURAL FACILITIES (GREENHOUSES)

2020 ◽  
Vol 69 (1) ◽  
pp. 327-332
Author(s):  
N.A. Zholdas ◽  
◽  
B.C Daribayev ◽  
Keyword(s):  
Information And Communication Technologies ◽  
Agricultural Sector ◽  
Irrigation System ◽  
Global Climate ◽  
Communication Technologies ◽  
Automated System ◽  
Main Task ◽  
Big Data Technologies ◽  
Information And Communication ◽  
Automated Irrigation System

The agricultural sector is the basis of the economy of Kazakhstan. Global climate change and growing water scarcity require new and improved agricultural approaches. The main task in this area is the production of products of the highest level and quality. The article discusses the characteristics of an automated irrigation system (AIS), designed to improve the productivity of agricultural objects. Such systems are aimed at obtaining quality products, improving the ecology of production and reducing the amount of resources spent. An automated system of ventilation, watering and lighting of plants allows to effectively use time, water and light in the greenhouse. The use of information and communication technologies in an agricultural facility plays an important role in obtaining information about plants. Explanations of the hardware (microcontroller and other devices) and software (mobile application) parts used in the implementation of the system are shown.

scholarly journals Design Automatic Control and Remote Monitoring System of Center Pivot Irrigation System Using Wireless Sensor Network (WSN) and GPRS Technology

2021 ◽  
pp. 582-593
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Irrigation System ◽  
Sensor Data ◽  
Automated System ◽  
Wireless Sensor ◽  
Communication Link ◽  
Remote Monitoring System ◽  
Radio Transceiver

The implementation of an automatic irrigation system based on the microcontroller and a wireless system network is presented in this paper. This implementation aims to demonstrate that automatic irrigation can be used to minimize and optimize water use. The automated irrigation system consists of the master control unit (MCU) and a distributed wireless sensor network (WSN). The communication between the WSN and the MCU is via a radio frequency (NRF25L01). The MCU has a radio transceiver that receives the sensor data from the wireless sensor network also has a communication link based cellular-internet interface using general packet radio service and a global system for mobile (GSM/GPRS). The activation of the automated system is done when the threshold value of the sensors in the WSN is reached. Each WSN consists of a soil moisture sensor probe, soil temperature probe, radio transceiver, and a microcontroller. The sensor measurements are transmitted to the MCU to analyze and activate/deactivate the automatic irrigation system. The internet connection using GPRS allows the data inspection in real-time on a server, where the temperature and soil moisture data are graphically displayed on the server using a graphical application and stored these data in a database server.

scholarly journals Testing an Automated Irrigation System Based on Leaching Fraction Testing and Weather in a Container Nursery

2019 ◽  
Vol 29 (2) ◽  
pp. 114-121 ◽  
Author(s):  
Jeff B. Million ◽  
Thomas H. Yeager
Keyword(s):  
Irrigation System ◽  
Optimal Growth ◽  
Irrigation Scheduling ◽  
Plant Production ◽  
Automated System ◽  
Water Savings ◽  
Wide Range ◽  
Automated Technology ◽  
Leaching Fraction ◽  
Leachate Water

Irrigation scheduling in container nurseries is challenging due to the wide range of plant production conditions that must be accounted for at any given time. An irrigation scheduling system should also consider weather affecting evapotranspiration to apply proper amounts of water that will ensure optimal growth with minimal runoff (container drainage). We developed an automated system that relies on routine leaching fraction (leachate/water applied) testing and real-time weather recorded on-site to make adjustments to irrigation. A web-based program (CIRRIG) manages irrigation zone inputs [weather and leaching fraction (LF) test results] and outputs irrigation run times that can be implemented automatically with programmable logic controllers. In this study conducted at a nursery in central Florida, we compared the automated technology (CIRRIG) with the nursery’s traditional irrigation practice (TIP) of manually adjusting irrigation based on substrate moisture status of core samples taken twice weekly. Compared with TIP, CIRRIG reduced water use in six of seven unreplicated trials with water savings being greater for microirrigated crops grown in large containers than for sprinkler-irrigated crops in small containers. Reduced pumping cost associated with water savings by CIRRIG was estimated to be $3250 per year, which was insignificant compared with the labor savings of $35,000 to $40,000 anticipated by the nursery using CIRRIG in lieu of TIP. At the end of the project, the necessary hardware was installed to expand CIRRIG nursery-wide and control 156 zones of irrigation.

scholarly journals Smart irrigation using WSN based on IOT

2018 ◽  
Vol 7 (2.8) ◽  
pp. 331 ◽  
Author(s):  
VP Krishna Anne ◽  
Kuricheti R V Siva Naga Durg ◽  
Rama Krishna Muddineni ◽  
Surya Gowtham Peri
Keyword(s):  
Web Application ◽  
Irrigation System ◽  
Automated System ◽  
Communication Link ◽  
Threshold Values ◽  
Crop Water ◽  
Crop Field ◽  
Self Rule ◽  
Temperature Measure ◽  
Automated Irrigation System

To set right the usage of water for crops of agriculture an automated irrigation system has been implemented. A moisture soil sensor; and a temperature measure sensor which is called as network of the distributed wireless is used at base of the plant. Along with these, we implemented a gateway unit. which gathers information and regulate it and by activating the triggers actuators, it can send and receive the transmits data to and from the web application. I proposed the algorithm which having the temperature and soil moisture threshold values that embedded in a gate way based on micro controller. It implemented panels of the photovoltaic; and having a duplex communication link; and works with the interface i.e. cellular-Internet which offers that data inspection & irrigation timing. All this can be programmed by using a web page. Implemented automated Crop water saving system tested for 136 days in sage crop field. It can be saved 90% water compared to others. The main 3 advantages of this automated system make it place successfully in any place for 18 months. As it is energy self-rule, cost less, so it can be efficiently useful in limited water geographical lands.

scholarly journals Development of an automaton based on rigid logic to control the irrigation system

2021 ◽  
Vol 2094 (3) ◽  
pp. 032014
Author(s):  
S N Kostarev ◽  
T G Sereda ◽  
A V Novikov ◽  
Y A Kochinov ◽  
T V Kochinova
Keyword(s):  
Control System ◽  
Water Supply ◽  
Irrigation System ◽  
Block Diagram ◽  
Water Pressure ◽  
Automated System ◽  
Water Tank ◽  
Mealy Automaton ◽  
The City ◽  
Rigid Logic

Abstract Managing the distribution of water resources for the southern regions of Russia is of great importance in connection with limiting the consumption of fresh water. The use of saline water can lead to soil salinization and negatively affect crop production. The article deals with the problem of constructing a sequential automaton for controlling the system of switching networks when watering plants on the example of the sanatorium “Rus” in the city of Anapa, Krasnodar Territory. The Mediterranean zone, where the city of Anapa is located, is characterized by a low level of precipitation, which leads to the need for artificial irrigation of plants. The existing irrigation system using a water tank truck based on the GAZ-53 is physically outdated, which required the development of a modern automated system. The flower alleys, located on the territory of the sanatorium, were structured in a tree-like form. The construction of a control device based on rigid logic is based on the Mealy automaton. A method for constructing a control system for a tree-like water supply network has been developed, which makes it possible to control the main, distribution and supply branches. A block diagram of an irrigation machine has been developed, which has a tree-like branching, which shows control signals and states of transitions. Synthesized logical equations for the control of the water supply system, using a blocking control system with feedback. It is proposed to use the Omron programmable logic controller and CX-One software as software and hardware. The distribution of the address space of the controller is shown. Simulation modeling of the system operation was carried out, which showed the correct logic of control over the work of water pressure supply in water pipelines. Implementation of the developed system will improve the quality of irrigation of plants and minimize the cost of irrigation.

scholarly journals Using Soil Moisture Sensors for Automated Irrigation Scheduling in a Plum Crop

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2061 ◽  
Author(s):  
Millán ◽  
Casadesús ◽  
Campillo ◽  
José Moñino ◽  
Henar Prieto
Keyword(s):  
Soil Moisture ◽  
Deficit Irrigation ◽  
Irrigation System ◽  
Irrigation Scheduling ◽  
Automated System ◽  
Control Treatment ◽  
Human Intervention ◽  
Regulated Deficit Irrigation ◽  
Soil Moisture Sensors ◽  
Automated Irrigation System

The growing scarcity and competition for water resources requires the urgent implementation of measures to ensure their rational use. Farmers need affordable irrigation tools that allow them to take advantage of scientific know-how to improve water use efficiency in their common irrigation practices. The aim of this study is to test under field conditions, and adjust where required, an automated irrigation system that allows the establishment of regulated deficit irrigation (RDI) strategies in a stone fruit orchard. For this, an automated device with an algorithm which combines water-balance-based irrigation scheduling with a feedback adjustment mechanism using 15 capacitive sensors for continuous soil moisture measurement was used. The tests were carried out in 2016 and 2017 in Vegas Bajas del Guadiana (Extremadura, Spain) on an experimental plot of ‘Red Beaut’, an early-maturing Japanese plum cultivar. Three irrigation treatments were established: control, RDI and automatic. The control treatment was scheduled to cover crop water needs, a postharvest deficit irrigation (40% crop evapotranspiration (ETc)) strategy was applied in the RDI treatment, while the Automatic treatment simulated the RDI but without human intervention. After two years of testing, the automated system was able to “simulate” the irrigation scheduling programmed by a human expert without the need for human intervention.

Automated Irrigation System Based on LoRa and ML for Marginal Farmers

2020 ◽  
Vol 10 (3) ◽  
pp. 345-353
Author(s):  
Selvam Loganathan ◽  
Kavitha Perumal
Keyword(s):  
Machine Learning ◽  
Web Application ◽  
Learning Algorithm ◽  
Irrigation System ◽  
Cost Effective ◽  
Automated System ◽  
Correct Prediction ◽  
The World ◽  
Soil Status ◽  
Automated Irrigation System

Background & Objective:: India is one of the foremost agricultural producers in the world; on the other hand, the consumption of water for agricultural purposes in India has been among the highest in the world. Indiscriminate use of inadequate irrigation techniques has led to a critical water deficit in the country. Now with the development of (IoT) Precision Farming and Precision Irrigation are becoming very popular. This paper proposes a cost-effective Automated Irrigation System based on LoRa and Machine Learning, which can be of great help to marginal farmers, for whom agriculture is hardly a profitable venture, mainly due to water scarcity. Methods: In this automated system, LoRa technology is used in Sensor and Irrigation node, in which sensors collect data on soil moisture and temperature and send it to the server through a LoRa gateway. Then the data is fed into a Machine Learning algorithm, which leads to correct prediction of the soil status. Results: Hence, the field needs to be irrigated only if and when it is needed. Conclusion: The system can be remotely monitored using a web application that can be accessed by a mobile phone.

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