المؤلفون: Sa, Inkyu, Ge, Zongyuan, Dayoub, Feras, Upcroft, Ben, Perez, Tristan, McCool, Christopher

المصدر: Sensors

مصطلحات موضوعية: agricultural robotics, deep convolutional neural network, harvesting robots, horticulture, multi-modal, rapid training, real-time performance, visual fruit detection

وصف الملف: application/pdf

العلاقة: https://eprints.qut.edu.au/221566/1/sensors-16-01222-v2%2B%281%29.pdfTest; Sa, Inkyu, Ge, Zongyuan, Dayoub, Feras, Upcroft, Ben, Perez, Tristan, & McCool, Christopher (2016) DeepFruits: A fruit detection system using deep neural networks. Sensors, 16(8), Article number: 1222 1-23.; https://eprints.qut.edu.au/221566Test/; Institute for Future Environments; Science & Engineering Faculty; ARC Centre of Excellence for Robotic Vision

الإتاحة: https://doi.org/10.3390/s16081222Test
https://eprints.qut.edu.au/221566Test/

المؤلفون: Hall, David, Dayoub, Feras, Perez, Tristan, McCool, Chris

المساهمون: Grains Research and Development Corporation

المصدر: Computers and Electronics in Agriculture ; volume 148, page 107-120 ; ISSN 0168-1699

مصطلحات موضوعية: Horticulture, Computer Science Applications, Agronomy and Crop Science, Forestry

الإتاحة: https://doi.org/10.1016/j.compag.2018.02.023Test
https://api.elsevier.com/content/article/PII:S0168169917309018?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0168169917309018?httpAccept=text/plainTest

المؤلفون: Inkyu Sa, Zongyuan Ge, Dayoub, Feras, Upcroft, Ben, Perez, Tristan, McCool, Chris

المصدر: Sensors (14248220); Aug2016, Vol. 16 Issue 8, p1222, 23p

مصطلحات موضوعية: ARTIFICIAL neural networks, FRUIT, ROBOTICS research, NEAR infrared radiation, NEAR infrared spectroscopy