Design, simulation and manufacturing pneumatic tools saffron harvest equipped with image processing and automated control systems

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,090

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شناسه ملی سند علمی:

CRSTCONF01_158

تاریخ نمایه سازی: 27 اسفند 1394

چکیده مقاله:

Given that Iran is the world's largest producer of saffron and about 90 percent of the world's saffron is produced and one of the most difficult stages in the production of saffron, saffron harvest is manually due to high production costs It thus offers a good way of designing and anufacturing to mechanized harvesting of this plant is necessary and inevitable. In this study by examining the needs of the country in agricultural mechanization to design and build a machine to harvest saffron, which can reduce production costs and eliminate manual cutting farmers hardship. In the first phase of the study and review of literature, reference and scientific works in the field of harvesting machines, so different models of harvesting machines and provide the best and most practical approach to designing and modeling system based on the principles of design and drawing industries using industrial design software (solid works) is.the benefits plan designs and manufacturing pneumatic harvesting saffron scientific and innovative plan to mechanize the harvest is laborious. The main idea of this device is designed to help farmers reduce production costs and increase the willingness of farmers to increase the area under cultivation is.The apparatus consists of three main parts: 1) image processing system to identify goals ripe and unripe 2) pneumatic system for removal (picking) flower (three-row) 3) air tunnel and conveyor belts to move the flowers to the tank or warehouse.Sub-sectors include: Chassis harvest, wheels, tanks (storage) and .... are.

کلیدواژه ها:

image processing system - saffron harvesting machine - automatic control systems

نویسندگان

Javad nemati

Department of Mechanical Biosystems, Scince and Research Branch, Islamic Azad university, Tehran , Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
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