IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
Scopus/Elsevier
(Re-evaluation in-progress)
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Plant Growth Monitoring System

[Full Text]

 

AUTHOR(S)

R. Aravind, Dr. D. Maheswari

 

KEYWORDS

Agriculture, Artificial neural networks, Support vector machine, Plant growth monitoring

 

ABSTRACT

Agriculture is the foundation of the world economy, 75% of nations rely upon agriculture. Agriculture has gotten substantially more than essentially a way to bolster consistently developing populaces. It is significant wherein over 70% populace relies upon agriculture in India. In image processing, an acknowledgment system equipped for recognizing plants by utilizing the images of their leaves has been created and with the assistance of the utilization of the images of pesticides can be controlled. The proposed system estimates measurements of the plant by utilizing an infrared sensor and creates most extreme stature, width and distance across the stem of the plant as plant growth parameters, utilizing estimated information. The proposed plant growth monitoring system has been executed by structuring a mechanized examining system. At last, the system execution is contrasted and checked and the estimation information that has been gotten by down to earth field tests.

 

REFERENCES

[1] Ha Anh Minh Tran, Ha Quang Thinh Ngo, Thanh Phuong Nguyen, Hung Nguyen,” Design of Green Agriculture System Using Internet of Things and Image Processing Techniques”, 4th International Conference on Green Technology and Sustainable Development (GTSD) ©2018 IEEE.
[2] Wang, J., Lu, B., Yu, K., Tian, M., Huang, X., & Wang, Z. (2017),”Rice growth monitoring using multi-temporal GF-1 images”, 2017 6th International Conference on Agro-Geoinformatics. doi:10.1109/agro-geoinformatics.2017.8047018.
[3] Amin, S. R. M., & Awang, R.,” Automated Detection of Nitrogen Status on Plants: Performance of Image Processing Techniques”, ©2018 IEEE.
[4] Omura, K., Yahata, S., Ozawa, S., Ohkawa, T., Chonan, Y., Tsuji, H., & Murakami, N. (2018). An Image Sensing Method to Capture Soybean Growth State for Smart Agriculture Using Single Shot MultiBox Detector. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). doi:10.1109/smc.2018.00293.
[5] Emma Madigan, Yiqing Guo, Mark Pickerin , Alex Held, Xiuping Jia, ”QUANTITATIVE MONITORING OF

[6] COMPLETE RICE GROWING SEASONS USING SENTINEL 2 TIME SERIES IMAGES”, ©2018 IEEE.
[7] Abouzahir, S., Sadik, M., & Sabir, E,” IoT-Empowered Smart Agriculture: A Real-Time Light-Weight Embedded Segmentation System”,@ 2017 Springer.
[8] Dong, Y., Xu, F., Liu, L., Du, X., Ye, H., Huang, W., & Zhu, Y.,” Monitoring and forecasting for disease and pest in crop based on WebGIS system”, ©2019 IEEE.
[9] Shadrin, D., Somov, A., Podladchikova, T., &Gerzer, R,” Pervasive Agriculture: Measuring and Predicting Plant Growth Using Statistics and 2D/3D Imaging”, Shadrin, D., Somov, A., Podladchikova, T., &Gerzer, R. (2018). Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging. 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). doi:10.1109/i2mtc.2018.8409700.
[10] Oo, Z. Z., & Phyu, S,” Microclimate Prediction Using Cloud Centric Model Based on IoT Technology for Sustainable Agriculture”, 2019 IEEE 4th International Conference on Computer and Communication Systems.
[11] Dong, W., Wu, T., Sun, Y., & Luo, J,” Digital mapping of soil available phosphorus supported by AI Technology for precision agriculture”, 2018 IEEE 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). doi:10.1109/agro-geoinformatics.2018.8476007.
[12] Pavel, M. I., Kamruzzaman, S. M., Hasan, S. S., &Sabuj, S. R.,” An IoT Based Plant Health Monitoring System Implementing Image Processing”, 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). doi:10.1109/ccoms.2019.8821782.
[13] PINAR, M. O., & ERPUL, G,” Monitoring land cover changes during different growth stages of semi-arid cropping systems of wheat and sunflower by NDVI and LAI”,2019 IEEE 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). doi:10.1109/agro-geoinformatics.2019.8820423
[14] Kapoor, A., Bhat, S. I., Shidnal, S., &Mehra, A.,”Implementation of IoT (Internet of Things) and Image processing in smart agriculture.”, 2016 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS). doi:10.1109/csitss.2016.7779434.
[15] Rezende Silva, G., Cunha Escarpinati, M., Duarte Abdala, D., & Rezende Souza, I,”Definition of Management Zones Through Image Processing for Precision Agriculture.”,2017 IEEE Workshop of Computer Vision (WVC). doi:10.1109/wvc.2017.00033.
[16] Dong, W., Sun, Y., & Luo, J,” Fine mapping of key soil nutrient content using high resolution remote sensing image to support precision agriculture in Northwest China”, ©2019 IEEE.