Abstract
Recently, there has been a frequent invasion of locusts in agricultural fields. Though locusts do not harm humans directly, they devour leaves on trees, agricultural harvests fruits, vegetables, crops and other green vegetation. The swarms of locusts are attacking more than 25 districts covering more than 50,000 hectares of desert areas of western India. The present paper proposes a unique solution to prevent the locust attack in agricultural field. Locusts can eat twice their size, therefore, a swarm of locusts can cause wide spread damage to the crop. According to Wikipedia, very small swarm eat the amount, 1 Km2, of food in one day that is sufficient for more than 34,000 people. The adult swarms or hopper bands travel long distances and devastate the several million hectares of crop. In the present paper, a wireless sensor network (WSN)-based unique solution to fight the plague of locusts is proposed. In the proposed technique, WSN nodes are deployed in vicinity of the agricultural field. The WSN nodes detect the arrival of adult swarm or hopper bands of locusts and send a signal to an actuator system in the field. The actuator in turn activates the sprinkler sprayer system that forces locusts to change their route. The proposed solution is very effective in terms of diverting the path of locust swarms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
K.H.J. Huang, Remote sensing of locust and grasshopper plague in China: a review, in 2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics) (Tianjin, 2016), pp. 1–6. https://doi.org/10.1109/Agro-Geoinformatics.2016.7577686.
H. Wehn, B. Rabus, D. Wood, A. McCardle, Prediction of locust outbreaks from RADARSAT-1 multi-angle data, in IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, vol. 5 (Anchorage, AK, 2004), pp. 3543−3546. https://doi.org/10.1109/IGARSS.2004.1370475
T. Starner, D. Kirsch, S. Assefa, The locust swarm: an environmentally- powered, networkless location and messaging system, in Digest of Papers. First International Symposium on Wearable Computers (Cambridge, MA, USA, 1997), pp. 169–170. https://doi.org/10.1109/ISWC.1997.629938
S.D. Gordon, J.C. Jackson, S.M. Rogers, J.F.C. Windmill, Listening to the environment: hearing differences from an epigenetic effect in solitarious and gregarious locusts. Proc. R. Soc. B. 281 (1795). https://doi.org/10.1098/rspb.2014.1693
K. Nishio, N. Ihara, T. Yamasaki, Simple analog-digital circuit for detection of approaching object based on visual systems of pigeon and locust, in 2010 11th International Conference on Control Automation Robotics and Vision (Singapore, 2010), pp. 1714–1718. https://doi.org/10.1109/ICARCV.2010.5707233.
M.R.M. Kassim, A.N. Harun, Applications of WSN in agricultural environment monitoring systems, in 2016 International Conference on Information and Communication Technology Convergence (ICTC) (Jeju, 2016), pp. 344–349. https://doi.org/10.1109/ICTC.2016.7763493.
J. Brinkhoff, J. Hornbuckle, Characterization of WiFi signal range for agricultural WSNs, in 2017 23rd Asia-Pacific Conference on Communications (APCC) (Perth, WA, 2017), pp. 1–6. https://doi.org/10.23919/APCC.2017.8304043.
J.B. Patel, C.B. Bhatt, B. Patel, K. Parwani, C. Sohaliya, Field irrigation management system using wireless sensor network, in 2011 Nirma University International Conference on Engineering (Ahmedabad, Gujarat, 2011), pp. 1–4. https://doi.org/10.1109/NUiConE.2011.6153317
J. AdelineSneha, R. Chakravarthi, J.A. Glenn, A review on energy efficient image feature transmission in WSN for micro region pest control, in 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (Chennai, 2016), pp. 4859–4862. https://doi.org/10.1109/ICEEOT.2016.7755643
Y. Li, L. Ding, F. Liu, The improvement of LEACH protocol in WSN, in Proceedings of 2011 International Conference on Computer Science and Network Technology (Harbin, 2011), pp. 1345–1348. https://doi.org/10.1109/ICCSNT.2011.6182209
R. Regmi, P.W.C. Prasad, A. Alsadoon, A. Elchouemi, S. Sreedharan, Modified LEACH algorithm for wireless sensor networks in agricultural field, in 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (Chennai, 2017), pp. 3100–3104. https://doi.org/10.1109/ICPCSI.2017.8392296
Data sheet of SKU321988 Acoustic sensor available online at https://test.robu.in/product/analog-sound-sensor-microphone-module-for-arduino/
Datasheet of Smell sensor MICS5524 available online at https://www.mouser.in/datasheet/2/18/1084_Datasheet-MiCS-5524-rev-8-1144838.pdf
Datasheet of Transceiver SKU:319016RF available online at https://robu.in/product/rf-transmitter-receiver-module-315mhz-wireless-link-kit-for-arduino/
Datasheet of WeMos ESP8266 processor board available online at https://www.rhydolabz.com/arduino-arduino-boards-c-152_123/wemos-d1-r2-wifi-esp8266-development-board-arduino-compatible-p-2431.html
Arduino IDE https://www.arduino.cc/pro/arduino-pro-ide
ThingSpeak https://thingspeak.com/
Acknowledgements
We owe our sincere feelings of gratitude to the management of MIT Group of Institutions, Moradabad. We are also thankful to Prof. Rohit Garg, Director MIT, for his support, guidance and suggestions, which helped us a lot to write the paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendices
Appendix
1 Features of Acoustic Sensor
The features and characteristics of sensor module match the requirement of acoustic sensor for the present application. The acoustic sensor SKU: 321988 has the following features [12]:
-
1.
Detectable sound signal size
-
2.
Built-in filter–rectifier circuit, DC signal output
-
3.
Good sensitivity, built-in amplifier circuit, adjustable gain
-
4.
Voltage signal for sound intensity can be obtained by AD conversion
-
5.
Analogue voltage signal output, signal amplitude VCC/2
-
6.
Compatible for Arduino sensor interface.
2 Specifications of Acoustic Sensor
The specifications of Acoustic sensor are listed in table 1.
3 Features of Smell Sensor
This sensor is sensitive to [13]:
-
1.
CO ( ~1 to 1000 ppm).
-
2.
Ammonia (~1 to 500 ppm).
-
3.
Ethanol (~10 to 500 ppm).
-
4.
H2 (~1 – 1000 ppm).
-
5.
Methane / Propane / Iso-Butane (~1,000++ ppm).
4 Specifications of Smell Sensor
The specifications of smell sensor are listed in Table 2.
5 Features of Transceiver
This wireless transmitter and receiver pair operates at 315Mhz. They can easily fit into a breadboard and work well with microcontrollers to create a very simple wireless receiving frequency (MHz) data link. Since these are only transmitters, they will only work communicating data one way, you would need two pairs (of different frequencies) to act as a transmitter/receiver pair [14].
6 Specifications of Transceiver
The specifications of receiver module and transmitter module are listed in Tables 3 and 4, respectively.
7 Features of Processor Board
The board is controlled by the ESP8266 chip (a 32-Bit processor) and has a larger flash memory compared with an Arduino Uno. It consists of 11 digital I/O pins and 1 analogue (input) pin. The board can be connected using a Micro-B-type USB cable. The D1 R2 is a WiFi capable ESP8266EX-based development board in the form of the Arduino UNO board format. This board is compatible with the Arduino IDE and with NodeMCU.
On-Board Switching Power Supply:
-
Input Voltage Range: 9 V to 12 V
-
Output: 5 V at 1A Max
8 Specifications of the Processor Board
The specifications of processor board are listed in Table 5.
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shinghal, K., Saxena, A., Misra, R., Kumar, V. (2021). Wireless Sensor Network Node-Based Locusts’ Protection for Agricultural Fields. In: Vadhera, S., Umre, B.S., Kalam, A. (eds) Latest Trends in Renewable Energy Technologies. Lecture Notes in Electrical Engineering, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-16-1186-5_29
Download citation
DOI: https://doi.org/10.1007/978-981-16-1186-5_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1185-8
Online ISBN: 978-981-16-1186-5
eBook Packages: EnergyEnergy (R0)