?url_ver=Z39.88-2004&rft_id=10.1080%2F09064711003796428&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Forgprints.org%2Fid%2Feprint%2F20659%2F&rft.title=Robotic+weed+monitoring&rft.creator=Bochtis%2C+D.D.&rft.creator=S%C3%B8rensen%2C+C.G.&rft.creator=J%C3%B8rgensen%2C+R.N.+&rft.creator=N%C3%B8rremark%2C+M.&rft.creator=Hameed%2C+I.A.&rft.creator=Swain%2C+K.C.&rft.subject=+Weed+management&rft.description=In+this+paper%2C+an+integrated+management+system+for+the++planning+and+activation+of+a+field+monitoring+task+is+presented.+The+architecture+of+the+system+is+built+around+a+mobile+robotic+unit.+The+internet-based+architecture+of+the+system+includes+a+station+unit+that+works+as+a+mobile+on-farm+operating+console%2C+the+mobile+robotic+unit+and+a+field+server+for+generating+and+storing+maps.+The+hypothesis+is+that+it+is+possible+to+automate+the+planning+and+execution++of+the+operation+of+monitoring+the+in-field+weed+density+and+species+distribution.+The+developed+planning+system+includes+the+automatic+field+geometrical+representation+and+the+route+planning+for+the+mobile+unit.+For+the+field+representation+two+algorithmic+approaches+for+automated+track+generation+were+used.+For+the+route+planning%2C+a+graph-based+field+coverage+algorithm+and+a+discrete+gridbased+path+planning+method+were+used.The+low+computational+requirements+of+the+implemented+algorithms+make+it+feasible+to+adopt+a+real-time+re-planning+strategy+in+which+a+set+of+new+planning+problems+are+solved+based+on+the+latest+%0D%0Ainformation.+The+central+part+of+such+a+planning%2C+concerns+the+dynamic+re-evaluation+of+the+initial+plan+for+sampling+and+routing+based+on+the+on-line+analysis+of+the+samples.+This+provides+the+basis+for+a+fully+sequential+adaptive+adjustment+of+the+sampling+procedure+after+each+individual+sampling.+It+is+expected+that+such+a+dynamic+targeted+sampling+and+routing+system+will+reduce+the+overall+cost+and+time+consumption+of+the+weed+monitoring+operation.&rft.date=2011&rft.type=Journal+paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=%2Fid%2Feprint%2F20659%2F4%2F20659.pdf&rft.identifier=+++Bochtis%2C+D.D.%3B+S%C3%B8rensen%2C+C.G.%3B+J%C3%B8rgensen%2C+R.N.+%3B+N%C3%B8rremark%2C+M.%3B+Hameed%2C+I.A.+and+Swain%2C+K.C.+++(2011)+Robotic+weed+monitoring.+++Acta+Agriculturae+Scandinavica+Section+B.+Soil+and+Plant+Science%2C+61%2C+pp.+202-208.++++++++&rft.relation=10.1080%2F09064711003796428&rft.identifier=10.1080%2F09064711003796428&rft.doi=10.1080%2F09064711003796428