Abstract
This study proposes an automated soil tester to test the soil for agricultural purposes. The contribution of the computer science to agriculture is essential for the sustainability of human being in the world by keeping the food production up to a satisfactory level. The automation technique is a suitable and efficient solution to overcome difficulties in agriculture. This technique will increase the productivity and reduces the hardness of human effort in the field. The traditional soil testing mechanism has many difficulties and drawbacks such as time-consuming, poor knowledge of sample collection and variation in laboratory results compared to field results. The proposed automated soil tester will be the solid solution to overcome the problems of the traditional soil testing mechanism. The device has a temperature, moisture and pH sensors to measure the soil parameters such as temperature, water level, electro conductivity and pH. The automated soil tester will be able navigate in the given area of the field with the guidance of GPS and it is capable of avoiding obstacles in the filed. The data sensed will be sent to a website to get visualized and will stored in a database.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Roser, M.: Employment in agriculture (2018). ourworldindata.org. https://ourworldindata.org/employment-in-agriculture
College of Agriculture and Natural Resources (2017). Home and Garden Information Center. http://extension.umd.edu/hgic/soils/soil-testing
Chavan, C.H., Karande, P.V.: Wireless monitoring of soil moisture, temperature & humidity using ZigBee in agriculture. Int. J. Eng. Trends Technol. 11(10), 493–497 (2014)
Boopathy, S., et al.: Implementation of automatic fertigation system by measuring the plant parameters. Int. J. Eng. Res. Technol. 3(10), 583–586 (2014)
llawlor (2014). Thingspeak. https://github.com/iobridge/thingspeak/blob/master/README.textile
Boopathy, S., Ramkumar, N.: Controlling the boiler temperature of tea leaves by using Android application and Arduino UNO. Int. J. Mod. Comput. Sci. (IJMCS) 4(3), 57–60 (2016)
Li, J., Zhou, H., Li, H., Li, Y.: Design of humidity monitoring system based on virtual instrument. In: International Conference on Advances in Engineering, pp. 759–763 (2011)
Bugai, T., Salmon, K., Chiba, M.: GPS guided autonomous rover. School of Electrical & Information Engineering, University of the Witwatersrand, 24 May 2013
Chandramohan, J., et al.: Intelligent smart home automation and security system using Arduino and Wi-Fi. Department of Electrical and Electronics Engineering, Gnanamani College of Technology, Namakkal, India, March 2017, vol. 6. Issue 3, pp. 20694–20698. Index Copernicus value (2015). 58.10. https://doi.org/10.18535/ijecs/v6i3.53
Al-Faiz, M.Z., Mahameda, G.E.: GPS-based navigated autonomous robot. Al-Nahrain University, vol. 3, no. 4, April 2015
Srividyadevi, P., Pusphalatha, D.V., Sharma, P.M.: Measurement of power and energy using Arduino. Gokaraju Rangaraju Institute of Engineering and Technology, vol. 2(10), pp. 10–15, October 2013
Paradkar, A.D.: GPS guided autonomous robot. California State University, Long Beach (2016)
Chung, W.-Y., et al.: Wireless sensor network based soil moisture monitoring system design. In: Federated Conference on Computer Science and Information Systems, pp. 79–82 (2013)
Yuksel, T., Sezgin, A.: An implementation of path planning algorithms for mobile robots on a grid based map. Ondokuz Mayis University, Electrical & Electronics Engineering Department, Technical report (2005)
Espressif Smart Connectivity Platform: ESP8266. Espressif Systems, 12 October 2013
Yen, K.S., Lasky, Ty.A., Adamu, A., Ravani, B.: Application of high-sensitivity GPS for a highly-integrated automated longitudinal travel behavior diary. University of California, January 2007
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kovelan, P., Kartheeswaran, T., Thisenthira, N. (2019). Automated Soil Tester. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_26
Download citation
DOI: https://doi.org/10.1007/978-981-13-9187-3_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9186-6
Online ISBN: 978-981-13-9187-3
eBook Packages: Computer ScienceComputer Science (R0)