Volume 25, Issue 2 (2023)
JAST 2023, 25(2): 367-378 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sadeghi Z, Maghsoudi H, Maharlooei M M. Development of a Batch Type Weighing System for Garlic Bulb’s Yield Monitoring. JAST 2023; 25 (2) :367-378
URL: http://jast.modares.ac.ir/article-23-51783-en.html
URL: http://jast.modares.ac.ir/article-23-51783-en.html
1- Department of Bio-Systems Engineering, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Islamic Republic of Iran.
2- Department of Bio-Systems Engineering, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Islamic Republic of Iran. , h.maghsoudi@uk.ac.ir
2- Department of Bio-Systems Engineering, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Islamic Republic of Iran. , h.maghsoudi@uk.ac.ir
Abstract: (782 Views)
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.
Article Type: Original Research |
Subject:
Agricultural Machinery/Biosystems Engineering
Received: 2021/04/19 | Accepted: 2022/03/13 | Published: 2023/03/5
Received: 2021/04/19 | Accepted: 2022/03/13 | Published: 2023/03/5
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |