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STUDY ONCARTESIAN-TYPEHARVESTINGROBOT FORSTRAWBERRYMasateru Nagata, Y<strong>on</strong>gjie Cui,Jasper G. Tallada, Taichi KobayashiUniversity of Miyazaki, JapanSeptember 10, 2006 Sapporo3 rd IFAC, Bio-<strong>robot</strong>ics III September 9-10, 2006 Sapporo c<strong>on</strong>venti<strong>on</strong> center Sapporo Japan, Univ. of Miyazaki M.Nagata


Introducti<strong>on</strong> of Strawberry Producti<strong>on</strong> in JapanHarvestSorting and PackingGreenhouseProducti<strong>on</strong> Yield: Current Problems:200 thousand t<strong>on</strong>s/year • Harvesting by handin Japan (2001)• Hard working• L<strong>on</strong>g working timeWorking Time3 rd IFAC, Bio-<strong>robot</strong>ics III September 9-10, 2006 Sapporo c<strong>on</strong>venti<strong>on</strong> center Sapporo Japan, Univ. of Miyazaki M.Nagata


1.Harvesting RobotResearch in Other Instituti<strong>on</strong>sEhime University (Arima et al.)(http://mama.agr.okayama-u.ac.jp/)2. Sorting RobotIshii Industry co.Ltd (K<strong>on</strong>do et al.)(http://web.agr.ehime-u.ac.jp/)Tochigi Prefectual Agricultural Experiment Stati<strong>on</strong>(http://agrinet.pref.tochigi.jp/)


Development of Strawberry Harvest Robot1. Experimental Machinejiadbgh(a) Camera 1, (b) Camera 2, (c)X-axis, (d) Y-axis, (e) Z-axis, (f)S-axis, (g) Harvest hand, (h)Ridge, (i) wheel, (f) air tank.efcStartCamera 1 takes image ofharvest areaImage processing to locateripe fruits & order of collecti<strong>on</strong>Move hand with camera 2 andtake detail imageEstimate ripeness, and locati<strong>on</strong>and directi<strong>on</strong> of peduncleNoAMove and stop <strong>robot</strong> atharvest areaRipenessmore than45%?YesMove hand to fruit pedunclepositi<strong>on</strong> and rotate tocorrect directi<strong>on</strong>Descend hand and m<strong>on</strong>itorfiber optic sensor signalFiber optic sensoractivated?YesStop descent of handAscend & move to beltc<strong>on</strong>veyorNoCut peduncle & hold the fruitYesDrop the fruit & c<strong>on</strong>vey outAnother fruitin the area?NoAnotherharvest area?NoFinishAYes


Development of Strawberry Harvesting Robot2. Picking handStartMoves to the cut positi<strong>on</strong> of peduncle inhoriz<strong>on</strong>talS axis is rotated to the directi<strong>on</strong> corner ofpeduncleAir handDescends to the cut positi<strong>on</strong> of peduncleFiberSensorDetecti<strong>on</strong> ofpeduncleYesThe descent is stoppedNoSafetydevice10 mmScissorsFingerHolding and cutting of the peduncleTransports to the belt c<strong>on</strong>veyerDischarge of FruitsFinish


Per<strong>for</strong>mance Tests1. Strawberry2. Set-up of RidgeVariety: Akihime100% , 80%, 60%, 40%,UnripeDegree of RipenessRidge modelSize of ridge model3L 2L L M SSizeThe <strong>strawberry</strong> annual hilltop growing c<strong>on</strong>diti<strong>on</strong>s <strong>for</strong> the ‘Akihime’ variety were simulatedin the laboratory by bringing in three sets of planting materials and randomly arranging theleaves and fruits <strong>on</strong>to the experimental ridge. Each set had three <strong>harvesting</strong> areas.


Per<strong>for</strong>mance Tests3. Measured Quantities3.1 Fruit collecti<strong>on</strong> efficiency of the <strong>strawberry</strong> <strong>harvesting</strong><strong>robot</strong> <strong>for</strong> each operati<strong>on</strong> stepharvested and missed fruits, misjudgement of peduncle orientati<strong>on</strong>3.2 Operati<strong>on</strong> time in sec<strong>on</strong>ds of the <strong>strawberry</strong> <strong>harvesting</strong><strong>robot</strong> <strong>for</strong> each harvest set and areadriving time, time <strong>for</strong> identifying the positi<strong>on</strong> of fruits from thewide-view image, the time <strong>for</strong> detail image processing andcollecti<strong>on</strong> of each fruit3.3 Proporti<strong>on</strong> of ripe fruits and size of peduncle of theharvested fruits using the <strong>strawberry</strong> <strong>harvesting</strong> <strong>robot</strong>size of fruits, length of peduncle and profile of fruits


Fruit collecti<strong>on</strong> efficiency of the <strong>strawberry</strong><strong>harvesting</strong> <strong>robot</strong> <strong>for</strong> each operati<strong>on</strong> stepSetNo. of Fruitsin SetRobotVisi<strong>on</strong>JudgedRipeFruitsRobotVisi<strong>on</strong>Detected PeduncleHandSensorDetectedPeduncleC<strong>on</strong>ve-yanceofFruitsOverallEfficiency(%)Unripe Ripe Count (Eff%) Count (Eff%) Count (Eff%) Count (Eff%)1 11 26 23 (88.46) 16 (69.57) 11 (68.75) 9 (81.82) 54.052 11 26 24 (92.31) 18 (75.00) 15 (83.33) 13 (86.67) 64.863 13 28 28 (100.00) 19 (67.86) 16 (84.21) 13 (81.25) 63.41Ave 93.59 70.81 78.76 83.24 60.7745°SuccessFailureExample of poorrecogniti<strong>on</strong> of PeduncleThe Reas<strong>on</strong>:Due to unclear directi<strong>on</strong> of peduncleetc.Holding and cutting of peduncleThe Reas<strong>on</strong>:Due to too steep angle of peduncle etc.


Operati<strong>on</strong> time in sec<strong>on</strong>ds of the <strong>strawberry</strong><strong>harvesting</strong> <strong>robot</strong> <strong>for</strong> each harvest set and areaSet Harvest Fruit Movement to Camera 1 Fruit collecti<strong>on</strong> TotalArea count(pcs) Harvest area(s) Processing time(s) time(s) Time(s)1 6 8.0 4.5 106.3 118.81 2 9 7.9 3.1 141.6 152.53 7 8.0 2.6 94.2 104.91 7 8.0 3.9 105.7 117.62 2 8 8.0 2.9 123.8 134.73 5 8.0 2.6 80.0 90.61 9 7.9 3.5 118.5 129.83 2 11 8.1 4.0 169.9 182.03 10 8.3 2.3 155.6 166.2Ave 8 8.0 3.3 121.7 133.0


Proporti<strong>on</strong> of ripe fruits and size of peduncle ofthe harvested fruits using the <strong>strawberry</strong><strong>harvesting</strong> <strong>robot</strong>SetProporti<strong>on</strong> ofSize of PeduncleRipe Fruits(45% andLength (mm)Diameter (mm)higher)Range Mean SD Range Mean SD1 100% 9.9 - 23.2 17.3 3.8 0.6 - 1.4 0.9 0.22 100% 11.0 - 23.5 16.8 3.8 0.7 - 1.4 1.0 0.23 100% 8.5 - 29.2 17.4 4.9 0.5 - 1.9 1.1 0.4Ave 100% 8.5 - 29.2 17.2 4.1 0.5 - 1.9 1.0 0.3Sizes of Fruit:Mass: 5.8~32.7 gLength: 15.7~61.7 mmExample of harvested fruit


C<strong>on</strong>clusi<strong>on</strong>s1. The <str<strong>on</strong>g>study</str<strong>on</strong>g> c<strong>on</strong>firmed that the proposed imageprocessing method was able to detect positi<strong>on</strong> of<strong>strawberry</strong> fruits, evaluate their degree of ripeness andlocate the peduncle <strong>for</strong> <strong>harvesting</strong>.2. The locati<strong>on</strong> and directi<strong>on</strong> of the peduncle wasautomatically obtained <strong>for</strong> cutting and Holding of fruitsusing the designed picking hand.3. The operati<strong>on</strong> of the <strong>robot</strong> was about five times slowerthan the manual worker.4. Irregardless of the size of the fruit, the length of thepeduncle of harvested fruit was 17.2±4.2mm.5. It is better that the development of the <strong>robot</strong> should bed<strong>on</strong>e side-by-side with the development of the culturesystem.


Fruit positi<strong>on</strong> <strong>for</strong> testVideo of picking

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