Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing
The motivation for this review paper came from the developing countries where the economy is mostly dependent on agriculture and climate conditions. Based on current conditions and historical records, profitability in production farming depends on making a right and timely operational decision. Prec...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2020/8396164 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560106197221376 |
|---|---|
| author | Wei Li Muhammad Awais Weimin Ru Weidong Shi Muhammad Ajmal Saad Uddin Chenchen Liu |
| author_facet | Wei Li Muhammad Awais Weimin Ru Weidong Shi Muhammad Ajmal Saad Uddin Chenchen Liu |
| author_sort | Wei Li |
| collection | DOAJ |
| description | The motivation for this review paper came from the developing countries where the economy is mostly dependent on agriculture and climate conditions. Based on current conditions and historical records, profitability in production farming depends on making a right and timely operational decision. Precision farming is a systematic program designed to maximize the productivity of agriculture by carefully tailoring the soil and crop management to meet the specific requirements in each field while preserving environmental quality. This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. Radio satellite, mobile phones, sensors, internet-based communication, and microcontroller capture the ecological parameters such as soil moisture, temperature, humidity, and light intensity. The knowledge gained from the sensors is transferred directly to the cloud server by using IoT technology. Users from anywhere in the world can display them through an internet-enabled device. Development of sensor-based application in modern agriculture makes it cost-effective and potentially productive and increases the efficiency through precision agriculture farming. Different limitations have been reported in the previously reviewed publications like the shortage of power in the field that can be solved by using a solar panel that recharges the battery at the same time using electricity. Bluetooth application in the agriculture sector is mainly improved by design system optimization. Problems related to transmission and radio range frequency can be solved by using a power class upgraded antenna. |
| format | Article |
| id | doaj-art-54a76a2061b24905b45d6bd2b0e9d3fa |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-54a76a2061b24905b45d6bd2b0e9d3fa2025-02-03T01:28:21ZengWileyAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/83961648396164Review of Sensor Network-Based Irrigation Systems Using IoT and Remote SensingWei Li0Muhammad Awais1Weimin Ru2Weidong Shi3Muhammad Ajmal4Saad Uddin5Chenchen Liu6Research Center of Fluid Machinery Engineering & Technology, Jiangsu University, Zhenjiang, ChinaResearch Center of Fluid Machinery Engineering & Technology, Jiangsu University, Zhenjiang, ChinaResearch Center of Fluid Machinery Engineering & Technology, Jiangsu University, Zhenjiang, ChinaCollege of Mechanical Engineering, Nantong University, Nantong 226019, ChinaSchool of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, ChinaSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, ChinaResearch Center of Fluid Machinery Engineering & Technology, Jiangsu University, Zhenjiang, ChinaThe motivation for this review paper came from the developing countries where the economy is mostly dependent on agriculture and climate conditions. Based on current conditions and historical records, profitability in production farming depends on making a right and timely operational decision. Precision farming is a systematic program designed to maximize the productivity of agriculture by carefully tailoring the soil and crop management to meet the specific requirements in each field while preserving environmental quality. This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. Radio satellite, mobile phones, sensors, internet-based communication, and microcontroller capture the ecological parameters such as soil moisture, temperature, humidity, and light intensity. The knowledge gained from the sensors is transferred directly to the cloud server by using IoT technology. Users from anywhere in the world can display them through an internet-enabled device. Development of sensor-based application in modern agriculture makes it cost-effective and potentially productive and increases the efficiency through precision agriculture farming. Different limitations have been reported in the previously reviewed publications like the shortage of power in the field that can be solved by using a solar panel that recharges the battery at the same time using electricity. Bluetooth application in the agriculture sector is mainly improved by design system optimization. Problems related to transmission and radio range frequency can be solved by using a power class upgraded antenna.http://dx.doi.org/10.1155/2020/8396164 |
| spellingShingle | Wei Li Muhammad Awais Weimin Ru Weidong Shi Muhammad Ajmal Saad Uddin Chenchen Liu Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing Advances in Meteorology |
| title | Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing |
| title_full | Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing |
| title_fullStr | Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing |
| title_full_unstemmed | Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing |
| title_short | Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing |
| title_sort | review of sensor network based irrigation systems using iot and remote sensing |
| url | http://dx.doi.org/10.1155/2020/8396164 |
| work_keys_str_mv | AT weili reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing AT muhammadawais reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing AT weiminru reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing AT weidongshi reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing AT muhammadajmal reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing AT saaduddin reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing AT chenchenliu reviewofsensornetworkbasedirrigationsystemsusingiotandremotesensing |