Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ali Shafiekhani"'
Publikováno v:
Sensors, Vol 17, Iss 1, p 214 (2017)
In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects da
Externí odkaz:
https://doaj.org/article/672f90dc6b184f98838fed6aa910e085
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
SSCI
In this paper, we present an object detection and pose estimation algorithm that runs on low-cost and limited-processing hardware. The algorithm relies on two main steps: in the detection phase, it employs a Convolutional Neural Network (CNN) – nam
Publikováno v:
CVPR Workshops
Plant phenotyping is a data-driven research where interpretation of large and often multidimensional data is required. Therefore, effective visualization of plant phenotypes plays a major role in data analytics as it can provide scientists with the r
Publikováno v:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III.
In this work, a new element of our research for autonomous plant phenotyping is presented: a simulated environment for development and testing. As explained in our previous work, our architecture consists of two robotic platforms: an autonomous groun
Autor:
Arun Prabhu Dhanapal, Jason D. Gillman, Felix B. Fritschi, Guilherme N. DeSouza, Ali Shafiekhani
Publikováno v:
AIPR
Seed-coat wrinkling in soybean is often observed when seeds are produced in adverse environmental conditions and it has been associated with low germinability. Manually rating seeds is time consuming, error prone and fatiguing - leading to even more
Publikováno v:
AIPR
Weighting pixel contribution considering its location is a key feature in many fundamental image processing tasks including filtering, object modeling and distance matching. Several techniques have been proposed that incorporate Spatial information t
Fuzzy critic-based learning forms a reinforcement learning method based on dynamic programming. In this paper, an adaptive critic-based neuro-fuzzy system is presented for an unmanned bicycle. The only information available for the critic agent is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fdfcc8e661281ee8ff19c892c865df6
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 17, Iss 1, p 214 (2017)
Sensors
Volume 17
Issue 1
Sensors, Vol 17, Iss 1, p 214 (2017)
Sensors
Volume 17
Issue 1
In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects da
Publikováno v:
2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM).