首页|Researchers at Xi'an University of Posts and Telecommunications Target Intelligent Systems (Improved Detector In Orchard Via Top- to-down Texture Enhancement and Adaptive Region-aware Feature Fusion)
Researchers at Xi'an University of Posts and Telecommunications Target Intelligent Systems (Improved Detector In Orchard Via Top- to-down Texture Enhancement and Adaptive Region-aware Feature Fusion)
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NETL
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Springer Nature
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Intelligent Systems is now available. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Accurate target detection in complex orchard environments is the basis for automatic picking and polli- nation. The characteristics of small, clustered and complex interference greatly increase the difficulty of detection.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Shaanxi Province, Ministry of Education Joint Fund, National Engineering Laboratory for Integrated Aero-Space-Ground Ocean Big Data Application Technology.
Xi’anPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningXi’an University of Posts and Telecommunications
NETL
NSTL
Springer Nature
