Investigation of Growth Management and Field Optimization on IOT-based Technology for Chilli Cultivation: Hybrid Chilli (F1 Golden Parrot) in Pallavolu, Nellore

doi:10.23940/ijpe.21.06.p9.559568

Int J Performability Eng ›› 2021, Vol. 17 ›› Issue (6): 559-568.doi: 10.23940/ijpe.21.06.p9.559568

Investigation of Growth Management and Field Optimization on IOT-based Technology for Chilli Cultivation: Hybrid Chilli (F1 Golden Parrot) in Pallavolu, Nellore

Ngangbam Phalguni Singh^*, Sabbisetty Akhil, Ratakonda Vishnu, K. Kirit Redddy, B. Bhanu Prakash, and Shruti Suman

Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522502, India

Contact: * E-mail address: phalsingh@gmail.com
About author:Dr. Ngangbam Phalguni Singh is an Associate Professor of the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (KL Deemed to be University), Vaddeswaram, Andhra Pradesh, India. His research interests include semiconductors, low power VLSI, IoT and device physics.Sabbisetty Akhil1 is a final year student at the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (KL Deemed to be University), Vaddeswaram, Andhra Pradesh, India. His research interests include VLSI & embedded controller with IoT. Ratakonda Vishnu is a final year student at the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (KL Deemed to be University), Vaddeswaram, Andhra Pradesh, India. His research interests include VLSI & embedded controller with IoT. K. Kirit Redddy is a final year student at the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (KL Deemed to be University), Vaddeswaram, Andhra Pradesh, India. His research interests include VLSI & embedded controller with IoT. B.Bhanu Prakash is a final year student at the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (KL Deemed to be University), Vaddeswaram, Andhra Pradesh, India. His research interests include VLSI & embedded controller with IoT. Dr. Shruti Suman is an Associate Professor of the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (KL Deemed to be University), Vaddeswaram, Andhra Pradesh, India. Her research interests include semiconductors, Analog VLSI and IoT.

Abstract

Abstract: Andhra Pradesh is one of the leading chilli producing states in India and Asia. However, many farmers experience low yields due to various reasons such as pests and excess water during cultivation. In agriculture, the methods are now data-centric. It involves exploring poor performance and finding appropriate solutions. The rapidly growing applications of Internet-of-Things (IoT) based technology are attracting farmers to adopt smart farming, which is changing the system from qualitative approaches to quantitative approaches. This opens a door for our undertaking to include the abilities of different sensors for IoT in rural areas. Hybrid chilli (F1 Golden parrot) has been selected for cultivation in the Pallavolu area of Nellore. Therefore, weather conditions and provocation for this mission in this area will be deliberated. IoT tools and communication technologies related to sensors in agricultural applications are analyzed in detail. Moreover, an appropriate approach to monitoring crop health and field optimization will be studied in this project. High quality and improved production of hybrid chilli (F1 Golden Parrot) is expected in the Pallavolu area of Nellore.

Key words: IoT, smart farming, F1 golden parrot, field optimization

Ngangbam Phalguni Singh, Sabbisetty Akhil, Ratakonda Vishnu, K. Kirit Redddy, B. Bhanu Prakash, and Shruti Suman. Investigation of Growth Management and Field Optimization on IOT-based Technology for Chilli Cultivation: Hybrid Chilli (F1 Golden Parrot) in Pallavolu, Nellore [J]. Int J Performability Eng, 2021, 17(6): 559-568.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References

1. Zhang, L., Dabipi, I.K. and Brown Jr, W.L. Internet of Things applications for agriculture.Internet of Things A to Z: Technologies and Applications, pp.507-528, 2018.
2. Navulur, S. and Prasad, M.G.Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), p.3492, 2017.
3. Sisinni E., Saifullah A., Han S., Jennehag U. and Gidlund M.Industrial internet of things: Challenges, opportunities, and directions.IEEE Transactions on Industrial Informatics, 14(11), pp.4724-4734, 2018.
4. Ayaz M.,Ammad-Uddin, M. and Baig, I. Wireless sensor’s civil applications, prototypes, and future integration possibilities: A review.IEEE Sensors Journal, 18(1), pp.4-30, 2017.
5. Lin J., Yu W., Zhang N., Yang X., Zhang H. and Zhao W.A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications.IEEE Internet of Things Journal, 4(5), pp.1125-1142, 2017.
6. Shi X., An X., Zhao Q., Liu H., Xia L., Sun X. and Guo Y.State-of-the-art internet of things in protected agriculture. Sensors, 19(8), p.1833, 2019.
7. Huang W., Guan Q., Luo J., Zhang J., Zhao J., Liang D., Huang L. and Zhang D.New optimized spectral indices for identifying and monitoring winter wheat diseases. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6), pp.2516-2524, 2014.
8. Thangadurai, K. and Padmavathi, K.Computer visionimage enhancement for plant leaves disease detection. In 2014 world congress on computing and communication technologies (pp. 173-175). IEEE, 2014.
9. Jhuria, M., Kumar, A. and Borse, R.Image processing for smart farming: Detection of disease and fruit grading. In 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013) (pp. 521-526). IEEE, 2013.
10. Husin, Z.B., Shakaff, A.Y.B.M., Aziz, A.H.B.A. and Farook, R.B.S.M. Feasibility study on plant chili disease detection using image processing techniques. In 2012 Third International Conference on Intelligent Systems Modelling and Simulation (pp. 291-296). IEEE, 2012.
11. Badnakhe, M.R. and Deshmukh, P.R.Infected leaf analysis and comparison by Otsu threshold and k-means clustering.International Journal of Advanced Research in Computer Science and Software Engineering, 2(3), pp.449-452, 2012.
12. Al-Hiary, H., Bani-Ahmad, S., Reyalat, M., Braik, M. and Alrahamneh, Z. Fast and accurate detection and classification of plant diseases.International Journal of Computer Applications, 17(1), pp.31-38, 2011.
13. Zhang, C., Wang, X. and Li, X.Design of monitoring and control plant disease system based on DSP&FPGA. In 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing (Vol. 2, pp. 479-482). IEEE, 2010.
14. Meunkaewjinda A., Kumsawat P., Attakitmongcol K. and Srikaew A.Grape leaf disease detection from color imagery using hybrid intelligent system. In 2008 5th international conference on electrical engineering/electronics, computer, telecommunications and information technology (Vol. 1, pp. 513-516). IEEE, 2008.
15. Phadikar, S. and Sil, J.Rice disease identification using pattern recognition techniques. In 2008 11th International Conference on Computer and Information Technology (pp. 420-423). IEEE, 2008.
16. Baranwal, T. and Pateriya, P.K.Development of IoT based smart security and monitoring devices for agriculture. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence) (pp. 597-602). IEEE, 2016.
17. Sales, N., Remédios, O. and Arsenio, A.Wireless sensor and actuator system for smart irrigation on the cloud. In 2015 IEEE 2nd World Forum on internet of things (WF-IoT) (pp. 693-698). IEEE, 2015.
18. Kassim M.R.M., Mat, I. and Harun, A.N. Wireless Sensor Network in precision agriculture application. In 2014 International Conference on Computer, Information and Telecommunication Systems (CITS) (pp. 1-5). IEEE, 2014.

[1]	Divya Singhal, Laxmi Ahuja, and Ashish Seth. An Insight into Combating Security Attacks for Smart Grid [J]. Int J Performability Eng, 2022, 18(7): 512-520.
[2]	Sukruta Pardeshi, chetana Khairnar, and Khalid Alfatmi. Analysis of Data Handling Challenges in Edge Computing [J]. Int J Performability Eng, 2022, 18(3): 176-187.
[3]	Balaganesh Bojarajulu, Sarvesh Tanwar, and Thipendra Pal Singh. Parametric and Non-parametric Analysis on MAOA-based Intelligent IoT-BOTNET Attack Detection Model [J]. Int J Performability Eng, 2022, 18(10): 741-750.
[4]	Harinee S and Anand Mahendran. Secure ECG Signal Transmission for Smart Healthcare [J]. Int J Performability Eng, 2021, 17(8): 711-721.
[5]	Bandarupalli Rakesh and H. Parveen Sultana. A Review on Enhanced Routing Solutions in RPL Protocol [J]. Int J Performability Eng, 2021, 17(11): 938-945.
[6]	Latika Kakkar, Deepali Gupta, and Sarvesh Tanwar. A Novel Certificateless Secured Signature Scheme for IoT Data in Healthcare System [J]. Int J Performability Eng, 2021, 17(10): 873-879.
[7]	Yuxia Li. ACO-SOS-based Task Scheduling in Cloud Computing [J]. Int J Performability Eng, 2019, 15(9): 2534-2543.
[8]	Praveen Kumar Singh, Neeraj Kumar, and Bineet Kumar Gupta. Radio Frequency Identification: An Apparatus Instrumental in Smart ID Applications [J]. Int J Performability Eng, 2019, 15(4): 1073-1082.

Investigation of Growth Management and Field Optimization on IOT-based Technology for Chilli Cultivation: Hybrid Chilli (F1 Golden Parrot) in Pallavolu, Nellore

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 8

Recommended 0