Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

Connected attribute morphology for unified vegetation segmentation and classification in precision agriculture

(2018) Petra Bosilj et al.   COMPUTERS IN INDUSTRY

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields

(2017) Nived Chebrolu et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

3D-vision based detection, localization, and sizing of broccoli heads in the field

(2017) Keerthy Kusumam et al.   Journal of Field Robotics

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming

(2016) Philipp Lottes et al.   Journal of Field Robotics

Support Vector Machines for crop/weeds identification in maize fields

(2012) J.M. Guerrero et al.   EXPERT SYSTEMS WITH APPLICATIONS

Testing different color spaces based on hue for the environmentally adaptive segmentation algorithm (EASA)

(2009) G. Ruiz-Ruiz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Semantic object classes in video: A high-definition ground truth database

(2008) Gabriel J. Brostow et al.   PATTERN RECOGNITION LETTERS

Autonomous robotic weed control systems: A review

(2007) D.C. Slaughter et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE