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Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique

Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique

Bharati Patel, Aakanksha Sharaff, Satish Verulkar
Copyright: © 2022 |Volume: 11 |Issue: 1 |Pages: 20
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781683182702|DOI: 10.4018/IJSDA.302632
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MLA

Patel, Bharati, et al. "Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique." IJSDA vol.11, no.1 2022: pp.1-20. http://doi.org/10.4018/IJSDA.302632

APA

Patel, B., Sharaff, A., & Verulkar, S. (2022). Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-20. http://doi.org/10.4018/IJSDA.302632

Chicago

Patel, Bharati, Aakanksha Sharaff, and Satish Verulkar. "Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-20. http://doi.org/10.4018/IJSDA.302632

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Abstract

The statistical growth analysis of field crop has become a great challenge in agriculture. Analyzing the growth of crop through automation provides extensive significance to the farmers for getting information about the problem arising in plants due to irregular growth monitoring. The idea behind this work is the importance of mapping with pixel-based clustering technique for growth analysis in terms of height calculation of rice crop (rice variety is MTU-1010). Height measurement plays a vital role in regular assessment for a healthy crop, and the approach proposed in this work achieves 97.58% accuracy of 14 sampled datasets taken from Indira Gandhi Agriculture University of Raipur, Chhattisgarh; a real-time dataset has been prepared. Proposed work is used for analyzing vertical as well as horizontal scaling technique. Vertical mapping provides the height of a single plant whereas horizontal mapping using k-means clustering provides an average height of the whole field. This work uses machine learning, and image processing techniques are used for this work.