A wireless sensor network-based smart agriculture for the detection of plant pathogens with agricultural biotechnology

Document Type : Research Paper

Authors

1 Department of CS & IT, Kalinga University, Raipur, India.

2 Department of CS & IT, Kalinga University, Raipur, India

Abstract

Objective
Smart agriculture (SA) is a revolutionary method of farming that maximizes crop productivity and reduces environmental damage by using cutting-edge technology like sensors, robots, and data analytics. By using less pesticides, fertilizers, and other materials that damage ecosystems, it seeks to increase production efficiency and make agricultural methods more environmentally friendly. The combination of Wireless Sensor Networks (WSN) with microfluidic lab-on-a-chip technologies for real-time plant health monitoring and management is one of the most novel developments in SA.
 
Results
Agricultural biotechnology (ABT) in conjunction with networked microfluidic detectors may improve the identification and control of plant diseases. These biosensors can identify even minute levels of pathogens in plant tissues or environmental samples since they are designed to be very sensitive, inexpensive, and portable. Precision agricultural methods and a thorough image of disease propagation are made possible by the integration of these biosensors into a Wireless Sensor Network (WSN), which allows data to be wirelessly sent to a central server for real-time analysis.
 
 
 
Conclusions
In order to identify plant diseases, traditional agricultural systems often depend on time-consuming techniques including visual inspections, manual sampling, and diagnostic laboratory testing. Micro-fluidic biosensors provide a quicker and more accurate way to detect plant diseases locally and in real time. These technologies, when integrated with Wireless Sensor Networks (WSN), provide an effective framework for ongoing plant health monitoring, allowing farmers to identify diseases early and take prompt action.

Keywords

References

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Agricultural Biotechnology Journal
Volume 16, Issue 3
September 2024
Pages 257-272

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