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2024 Vol.51, Issue 1 Preview Page

Review Article

Yield monitoring systems for non-grain crops: A review
Md Sazzadul Kabir1
,
Md Ashrafuzzaman Gulandaz1
,
Mohammod Ali2
,
Md Nasim Reza12
,
Md Shaha Nur Kabir3
,
Sun-Ok Chung12
,
Kwangmin Han4*
1Department of Smart Agricultural Systems, Graduate School, Chungnam National University, Daejeon 34134, Korea
2Department of Agricultural Machinery Engineering, Graduate School, Chungnam National University, Daejeon 34134, Korea
3Department of Agricultural and Industrial Engineering, Faculty of Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
4Hyundai Agricultural Machinery, Iksan 54584, Korea
*Corresponding Author
1 March 2024. pp. 63-77
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Abstract

Yield monitoring systems have become integral to precision agriculture, providing insights into the spatial variability of crop yield and playing an important role in modern harvesting technology. This paper aims to review current research trends in yield monitoring systems, specifically designed for non-grain crops, including cabbages, radishes, potatoes, and tomatoes. A systematic literature survey was conducted to evaluate the performance of various monitoring methods for non-grain crop yields. This study also assesses both mass- and volume-based yield monitoring systems to provide precise evaluations of agricultural productivity. Integrating load cell technology enables precise mass flow rate measurements and cumulative weighing, offering an accurate representation of crop yields, and the incorporation of image-based analysis enhances the overall system accuracy by facilitating volumetric flow rate calculations and refined volume estimations. Mass flow methods, including weighing, force impact, and radiometric approaches, have demonstrated impressive results, with some measurement error levels below 5%. Volume flow methods, including paddle wheel and optical methodologies, yielded error levels below 3%. Signal processing and correction measures also play a crucial role in achieving accurate yield estimations. Moreover, the selection of sensing approach, sensor layout, and mounting significantly influence the performance of monitoring systems for specific crops.

Keywords
mass-based yield monitoring
precision agriculture
volume-based yield monitoring
yield monitoring system
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Information
  • Publisher :Institute of Agricultural Science, Chungnam National University
  • Publisher(Ko) :충남대학교 농업과학연구소
  • Journal Title :Korean Journal of Agricultural Science
  • Journal Title(Ko) :농업과학연구
  • Volume : 51
  • No :1
  • Pages :63-77
  • Received Date : 2023-10-11
  • Revised Date : 2023-11-30
  • Accepted Date : 2023-12-19
  • DOI :https://doi.org/10.7744/kjoas.510106
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