scholarly journals IoT Based Energy Efficient Agriculture Field Monitoring and Smart Irrigation System using NodeMCU

Author(s):  
Arvind Kumar ◽  
Abhijeet Kumar ◽  
Abhishek Kumar Singh ◽  
Anubhav Kumar Choudhary

Agriculture is the most important sector of the Indian economy and employs 50% of the country’s forces. But, in recent times the economic contribution of agriculture to India’s GDP is steadily declining. A major problem is the absence of an energy-efficient and reliable system for real-time monitoring of soil’s condition. The paper proposes a smart alert and irrigation system with real-time monitoring of soil’s condition. The proposed system detects the soil’s moisture content and temperature. Using NodeMCU development kit, the data are sent to the cloud-based IoT platform for round the clock real-time monitoring of the soil’s condition. A Message Queue Telemetry Transport communication protocol is used for data transmission. The cloud-based IoT platform analyses the collected data and sends alert messages and controls the irrigation system according to the pre-set threshold conditions. The proposed system is secure, economically feasible, reliable and energy-efficient which brings automation and IoT technology to the agriculture sector.

Computers ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Jabar H. Yousif ◽  
Khaled Abdalgader

Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especially in remote and desert areas. An efficient irrigation system is needed for optimizing the amount of water consumption, agriculture monitoring, and reducing energy costs. This paper proposes a real-time monitoring and auto-watering system based on predicting mathematical models that efficiently control the water rate needed. It gives the plant the optimal amount of required water level, which helps to save water. It also ensures interoperability among heterogeneous sensing data streams to support large-scale agricultural analytics. The mathematical model is embedded in the Arduino Integrated Development Environment (IDE) for sensing the soil moisture level and checking whether it is less than the pre-defined threshold value, then plant watering is performed automatically. The proposed system enhances the watering system’s efficiency by reducing the water consumption by more than 70% and increasing production due to irrigation optimization. It also reduces the water and energy consumption amount and decreases the maintenance costs.


IJARCCE ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 667-670
Author(s):  
Kushnure Devidas ◽  
More Poonam ◽  
Padamalakar Dhanashri ◽  
Padavale Pooja

2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-1175-Pr3-1182 ◽  
Author(s):  
M. Losurdo ◽  
A. Grimaldi ◽  
M. Giangregorio ◽  
P. Capezzuto ◽  
G. Bruno

2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 101-LB
Author(s):  
ABHINAV BHUSHAN ◽  
SONALI J. KARNIK

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