<p>Weed control is nowadays a hi-tech discipline. Inter-row weed control is very sophisticated </p><p>whereas the intra-row weed control lacks a lot. The aim of this pro ject is to implement </p><p>an embedded system of an autonomous vision based intra-row weeding robot. Weed and </p><p>crops can be distinguished due to several attributes like colour, shape and context fea- </p><p>tures. Using an emebedded system has several advantages. The embedded system is </p><p>specialized on video processing and is designed to withstand the needs of outdoor use. </p><p>This embedded system is already able to distinguish between weed and crops. The per- </p><p>formance of the hardware is very good whereas the software still needs some optimizations.</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:hh-238 |
| Date | January 2006 |
| Creators | Oberndorfer, Thomas |
| Publisher | Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, text |
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