Vision Intelligence for Mobile Agro-Robotic System
1999 ◽
Vol 11
(3)
◽
pp. 193-199
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Keyword(s):
We developed an intelligent vision system for mobile robot field operations. Fuzzy logic was used to classify crops and weeds. A genetic algorithm (GA) was used to optimize and tune fuzzy logic membership rules. Field studies confirmed that our method accurately classified crops and weeds throughout their growth cycle. After separating out weeds, an artificial neural network (ANN) was used to estimate crop height and width. The r2 for estimating crop height was 0.92 for training data and 0.83 for test data. A geographic information system (GIS) was used to create a crop growth map.
2013 ◽
pp. 72-77
2021 ◽
Vol 03
(01)
◽
pp. 45-52
2014 ◽
Vol 17
(1)
◽
pp. 56-74
◽
2020 ◽
Vol 175
◽
pp. 106810
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Keyword(s):
2012 ◽
Vol 542-543
◽
pp. 1394-1397
2014 ◽
Vol 902
◽
pp. 431-436
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