Scope of paddy harvesting technologies through cropland mapping using GIS tools and remote sensing

Authors

  • Md Kamrul Hasan Sylhet Agricultural University, Sylhet 3100, Bangladesh
  • Md Rostom Ali Department of Farm Power and Machinery, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
  • Chayan Kumer Saha Department of Farm Power and Machinery, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
  • Md Monjurul Alam Department of Farm Power and Machinery, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

DOI:

https://doi.org/10.5455/faa.116359

Keywords:

Precision agriculture, cropland mapping, GIS, remote sensing, LULC classification, paddy harvesting technologies

Abstract

Nowadays, modern agriculture has benefited from Precision Agriculture (PA) through incorporation of technological advances like the use of GIS (Geographic Information Systems), RS (Remote Sensing), GPS (Global Posi- tioning System) and advanced information processing. Based on the GIS, RS and GPS, a study was conducted to develop a cropland map using GIS and remotely sensed unsupervised algorithm for suitability analysis of paddy harvester. The research was carried out at four selected locations such as Kulbaria-Baratia, Mundopasha, Charwapda, and Holdibaria villages of Du- muria, Wazirpur, Subarnachar and Kalapara upazilas of Khulna, Barishal, Noakhali Patuakhali districts, respectively in the southern Bangladesh. The satellite images for GIS mapping were captured at vegetation stage of Boro- 2018 and Aman-2018 during March-April and October-November. Technical performances of reaper and combine harvester were used to determine the required number harvester based on the estimated cultivated area found through GIS maps. The calculated required number of (a) reaper, (b) mini combine and (c) medium combine to cover the estimated paddy area are (a) 17and16,1and5,38and127,6and21,(b)35and32,3and10,76and254,13 and 42 and (c) 10 and 9, 1 and 3, 21 and 72, 4 and 12 during Boro and Aman seasons at Kulbaria-Baratia, Mundopasha, Charwabda and Holdibaria of Dumuria, Wazirpur, Subarnachar and Kalapara upazilas, respectively. The estimated results revealed that GIS tools and remote sensing are helping in simplification and visualization by incorporating data sets which can supports decision making for the implementation of paddy harvesting tech- nologies in order to ensure the proper agricultural mechanization. Based on the accuracy assessment, GIS tool is found very useful to assess area to be harvested mechanically with specific type and number of harvester. It can be considered for formulating mechanized harvesting policy through further research in other areas.

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Published

2022-12-30

How to Cite

Hasan, M. K., Ali, M. R., Saha, C. K., & Alam, M. M. (2022). Scope of paddy harvesting technologies through cropland mapping using GIS tools and remote sensing. Fundamental and Applied Agriculture, 7(4), 250–267. https://doi.org/10.5455/faa.116359

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Section

Original Article

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