scholarly journals Construction of soil moisture and irrigation IoT monitoring system using Project Based Learning

Author(s):  
Sandro Cesar SIlveira Juca ◽  
Savio Lopes Rabelo ◽  
Diego Lima Carvalho Gonçalves ◽  
Vinícius Ferreira Silva ◽  
Renata Imaculada Soares Pereira ◽  
...  

This article describes a project developed using principles of Project Based Learning (PBL) and aims to use an embedded system for soil monitoring, thus measuring soil moisture and implementing automatic irrigation, as well as, the temperature and humidity of the environment. The configuration data for irrigation time control and the lower and upper limits of soil moisture percentage can be adjusted through a PHP page, where also the monitoring of the variation of soil moisture through a graph can be done in real time. The proposed project is divided into two steps using PBL. Phase one focuses on developing a circuit with sensors capable of doing measurement of ambient parameters and soil moisture, and phase two, on developing an irrigation system to control soil moisture, both using Internet of Things (IoT) concepts.

2018 ◽  
Vol 7 (2.24) ◽  
pp. 321 ◽  
Author(s):  
N Suruthi ◽  
R Saranya ◽  
S Subashini ◽  
P Shanthi ◽  
A Umamakeswari

Supplementation of water for irrigation in needed in south India due to uncertainty of monsoon rainfall. This paper proposes a support system to manage the irrigation system based on the information provided by humidity, temperature, soil moisture and weather information. The temperature, humidity and soil moisture data were collected by sensors. The proposed ANFIS based system consists of N inputs and a single output which determines the irrigation time needed for the crop. The experimentation is carried out using real time data collected from the region of VALLAM, located near THANJAVUR. The result helps in determining the time for irrigation which helps in increasing the yield of the crop.  


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Camilo Lozoya ◽  
Carlos Mendoza ◽  
Alberto Aguilar ◽  
Armando Román ◽  
Rodolfo Castelló

Improving the efficiency of the agricultural irrigation systems substantially contributes to sustainable water management. This improvement can be achieved through an automated irrigation system that includes a real-time control strategy based on the water, soil, and crop relationship. This paper presents a model driven control strategy applied to an irrigation system, in order to make an efficient use of water for large crop fields, that is, applying the correct amount of water in the correct place at the right moment. The proposed model uses a predictive algorithm that senses soil moisture and weather variables, to determine optimal amount of water required by the crop. This proposed approach is evaluated against a traditional irrigation system based on the empirical definition of time periods and against a basic soil moisture control system. Results indicate that the use of a model predictive control in an irrigation system achieves a higher efficiency and significantly reduce the water consumption.


2020 ◽  
Vol 9 (3) ◽  
pp. 870-876
Author(s):  
Safwan A. Hamoodi ◽  
Ali N.Hamoodi ◽  
Ghanim M.Haydar

In recent years, the best system of irrigation is studied by reducing the wasted amount of water and electricity. Automatic irrigation is the use of a device to operate irrigation structures so the change of flow of water from one bay, or set of bays, to another can occur in the absence of the irrigator. In this work, automatic control system of solar irrigation implemented practically using Arduino board. This photovoltaic (PV) system is applied in the garden of Engineering Technical College- Mosul (city in Iraq). PV system can be adjusted by many regions in Iraq where it planned to connect on small part of land. Irrigation process is controlled depending on moisture sensor that connected to sense the soil moisture and giving data to Arduino read pin. According to the program that uploaded to Arduino, DC pump can be controlled as ON-state or OFF-state as respect to the soil moisture percentage ratio. Finally, the practical results are approximately similar to that obtained from proteus Arduino simulator.


2018 ◽  
Vol 1 (2) ◽  
pp. 12
Author(s):  
Pedro Vitor de Sousa Guimarães ◽  
Sandro César Silveira Jucá ◽  
Renata Imaculada Soares Pereira ◽  
Ayrton Alexsander Monteiro Monteiro

This paper describes the use of a Linux embedded system for use in digital information and communication technology in order to generate image warnings using Internet of Things (IoT) prin- ciples. The proposed project generated a product, developed using concepts of project-based learning (ABP), called SECI (electronic internal communication system) that is accessed by students to view online warnings by distributed monitors and also by mobile devices connected to the Internet.


2020 ◽  
Vol 7 (04) ◽  
Author(s):  
PRADEEP H K ◽  
JASMA BALASANGAMESHWARA ◽  
K RAJAN ◽  
PRABHUDEV JAGADEESH

Irrigation automation plays a vital role in agricultural water management system. An efficient automatic irrigation system is crucial to improve crop water productivity. Soil moisture based irrigation is an economical and efficient approach for automation of irrigation system. An experiment was conducted for irrigation automation based on the soil moisture content and crop growth stage. The experimental findings exhibited that, automatic irrigation system based on the proposed model triggers the water supply accurately based on the real-time soil moisture values.


2020 ◽  
Vol 9 (1) ◽  
pp. 12
Author(s):  
M. PAWAR APARNA ◽  
J. D. DESHPANDE ◽  
N. PATIL SUHAS ◽  
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1935 ◽  
Vol 25 (3) ◽  
pp. 326-343 ◽  
Author(s):  
W. S. Rogers

1. A soil moisture meter which gives direct and continuous measurement of the soil moisture content is described. The instrument consists of a special porous pot filled with water, connected by a tube to a mercury manometer. The pot is buried in the soil, whose capillary pull causes the mercury to rise. The height to which the mercury rises depends on the amount of moisture in the soil, and also on the size of soil particles and the degree of compactness of the soil. (The last two factors remain constant for an instrument in one position.)2. To read actual moisture percentage each instrument has to be calibrated for the soil in which it is placed. Once this is done, all sampling and weighing is eliminated.


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