scholarly journals DESIGN OF AN INTELLIGENT IRRIGATION SYSTEM FOR A JUJUBE ORCHARD BASED ON IoT

2021 ◽  
pp. 189-198
Author(s):  
Kun Tan ◽  
Sanmin Sun ◽  
Liangzong Du ◽  
Shaoliang Zhou
Keyword(s):  
Information Acquisition ◽  
Irrigation System ◽  
Decision Threshold ◽  
Field Control ◽  
Relative Water ◽  
Programming Software ◽  
Database Comparison ◽  
Intelligent Irrigation ◽  
Control Terminal ◽  
Remote Client

This research aimed to develop an information acquisition and intelligent irrigation decision system based on the agricultural Internet of Things (IoT). The system consists of a field control terminal and a remote client, realizing control, real-time display, alarm, and other functions. The user may apply the upper and lower limit of soil relative water content as the irrigation decision threshold. The system automatically controls irrigation according to the threshold. In the calculation and analysis part of the system, the programming software Keil 5 was used for data collection and monitoring, database comparison, calculation and analysis, irrigation decision, and other functions.

scholarly journals Proposals of Universal Algorithms for the Automation of the Irrigation Process of Plant Crops

2021 ◽  
Vol 25 (1) ◽  
pp. 115-124
Author(s):  
Paweł Chwietczuk
Keyword(s):  
Irrigation System ◽  
Irrigation Management ◽  
System Construction ◽  
Correct Operation ◽  
Field Crops ◽  
Soil Moisture Sensors ◽  
Construction Scheme ◽  
Relative Water ◽  
Intelligent Irrigation

Abstract The article presents the issues of water saving, declining freshwater resources in the world, and the problems of drought in the context of proper and effective irrigation of various types of crops. The use of microprocessor irrigation management systems has a significant impact on the quality of the yield and the rational use of water. An example of the irrigation system construction scheme is presented. The system uses strain gauge soil moisture sensors, which can be used to determine the relative water demand of plants, depending on the growing substrate. Additional system security in the form of rainfall and wind speed sensors provide the necessary information for the correct operation of the irrigation system. Then, two universal algorithms were proposed to automate the irrigation process of plant crops due to the way water is supplied to the plants. The first algorithm is designed for systems using drip lines - they are widely used in various types of crops where there is a need to precisely supply water to the plant, such systems are destined especially for crops grown undercover or for nursery crops. The second algorithm for sprinkler-based systems is mainly used in field crops and in mushroom farms. The presented algorithms can be used to design and implement intelligent irrigation systems, and after adding an additional module – for plant fertilization.

scholarly journals ‘Pele de sapo’ melon grown under different irrigation depths and bioestimulant rates in the Semiarid region of Brazil

2020 ◽  
Vol 11 ◽  
pp. e3303
Author(s):  
Daíse Souza Reis Lima ◽  
Welson Lima Simões ◽  
José Aliçandro Bezerra da Silva ◽  
Magno do Nascimento Amorim ◽  
Alessandra Monteiro Salviano ◽  
...  
Keyword(s):  
Production Efficiency ◽  
Irrigation System ◽  
Block Design ◽  
Cold Season ◽  
Semiarid Region ◽  
Randomized Block Design ◽  
Relative Water ◽  
Chlorophyll A And B ◽  
Hot Season ◽  
Amino Acid Contents

The objective of this work was to evaluate physiological and biochemical responses of Pele de sapo melon to different irrigation depths (ID) and bioestimulant rates (BTM) to improve its production efficiency. The experiment was conducted in an experimental field in Juazeiro, BA, Brazil. A randomized block design in split split-plot arrangement was used, with four ID (60, 80, 100, and 120% of crop evapotranspiration – ETc) in the plots; five (BTM) (Stimulate® at 0, 0.6, 1.2, 2.4, and 4.8 L ha-1 applied via irrigation system during the flowering stage and after the fruiting stage) in the subplots; and two crop seasons (hot season, 23 to 39 °C; and cold season, 15 to 30 °C) in the sub-subplots. The plants were under daily drip irrigation and spacing of 2.0 × 0.3 m. The variables evaluated were: gas exchange, water use efficiency, chlorophyll a and b, relative water, sugar, and amino acid contents, and fruit yield. The results showed that the ID of 60% ETc resulted in water deficit, denoted by increases in solute concentrations, whereas the ID of 80% and 100% resulted in plants with good performance for biochemical, physiological, and production parameters in both crop seasons. The hot season, ID of 120% ETc, and BTM of 2.4 L ha-1 are recommended for Pele de sapo melon crops, since they result in the best physiological responses and fruit yields.

The Design of Remote Intelligent Irrigation System Based on Web Servers

2013 ◽  
Vol 416-417 ◽  
pp. 806-810
Author(s):  
Wei Li
Keyword(s):  
Smart Home ◽  
Lower Cost ◽  
Irrigation System ◽  
Low Cost ◽  
Reference Value ◽  
Web Servers ◽  
Foreign Products ◽  
Traditional Irrigation ◽  
Use Efficiency ◽  
Intelligent Irrigation

The paper proposed program of lower-cost traditional 8-bit micro-controller with Web servers function, and is designed for remote control system. The system has the flexibility and low cost. And according to the actual needs of the decision-making and management of plant irrigation, intelligent irrigation system was designed and implemented.The system solve the difficult and critical hardware products import prices too high and difficult to promote for distribution of soil temperature and humidity monitoring.The system cost compared to similar foreign products decreased 44.8%.Compared with traditional irrigation methods, crop water use efficiency of 22.6%.The design of software and thinking can popularize and promote practical reference value, the future of smart home system.

Towards smart farming: Fog-enabled intelligent irrigation system using deep neural networks

2021 ◽  
Author(s):  
Matheus Cordeiro ◽  
Catherine Markert ◽  
Sayonara S. Araújo ◽  
Nídia G.S. Campos ◽  
Rubens S. Gondim ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Irrigation System ◽  
Smart Farming ◽  
Intelligent Irrigation

Development of Intelligent Irrigation System, Robot Transporter, and Precision Artificial Lighting System for Moss Mat Production in a Fully Controlled Plant Factory

2012 ◽  
Author(s):  
Yusuf Hendrawan ◽  
Bambang Dwi Argo ◽  
Mochamad Bagus Hermanto ◽  
Song Zhang ◽  
Haruhiko Murase
Keyword(s):  
Irrigation System ◽  
Lighting System ◽  
Artificial Lighting ◽  
Plant Factory ◽  
Intelligent Irrigation

Water-Saving Intelligence Irrigation Systems Design Based on ZigBee Technology

2014 ◽  
Vol 687-691 ◽  
pp. 3187-3190 ◽  
Author(s):  
Ling Zhu ◽  
Zun Yang Zhang
Keyword(s):  
Remote Monitoring ◽  
Irrigation System ◽  
Side Information ◽  
Systems Design ◽  
Information Management System ◽  
System Management ◽  
Server Side ◽  
Management Platform ◽  
Zigbee Technology ◽  
Intelligent Irrigation

This paper designed an automatic irrigation system based on ZigBee, and the system is powered by solar energy. It can provide users with an intuitive on-site system management platform to complete node management and data processing functions. This paper develops a server-side information management system software, achieving real-time monitoring and remote monitoring alarm by the Web, and it simplifies the process of installation and disassembly field devices, making it more suitable for a direct connection of the general inconvenience of monitoring occasions. This article will play a reference role in intelligent irrigation.

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