Development of a Batch Type Weighing System for Garlic Bulb’s Yield Monitoring | ||
| Journal of Agricultural Science and Technology | ||
| Article 9, Volume 25, Issue 2, 2023, Pages 367-378 PDF (1.47 M) | ||
| Document Type: Original Research | ||
| DOI: 10.52547/jast.25.2.367 | ||
| Authors | ||
| Z. Sadeghi; H. Maghsoudi* ; M. M. Maharlooei | ||
| Department of Bio-Systems Engineering, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Islamic Republic of Iran. | ||
| Abstract | ||
| Yield monitoring is one of the parts of the precision agriculture that is best documented in practice and allows varying inputs according to the expected field outputs depending on spatially variable yield goals. The present study introduced a batch type Weighing System (WS) for the garlic bulbs yield monitoring. This WS includes a four-sector cylindrical container, rotary blades, a digital transmitter and array of two load cells for mass measurements. Electronic boards were used to control the WS and transfer the mass and georeferenced data. A LabVIEW interface was also developed to do the real-time signal processing. This WS was tested under laboratory and field conditions. Three factors including blades Rotation Speed (RS), Stop Time (ST) of blades, and Fraction of Stop Time (FST) were defined to find optimum load cell output. The lab tests were done to find the optimum value for these factors and the optimized WS was tested in the field condition. On the basis of WS outputs and actual weight of bulbs, the relative mean standard errors were determined as 1.94% in the lab and 4.26%, in the field. To demonstrate the spatial variability of crop-yield in the field, a yield map was plotted in ArcGIS using the data that were acquired by the WS and a GPS. The data recorded by the use of garlic yield monitoring system can be used in experimental studies to provide the basis for developing efficient nutrient management protocols and improve the management of garlic fields. | ||
| Keywords | ||
| Allium sativum; Load cells; Precision agriculture; Yield map | ||
| References | ||
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