Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming

Author:

Fawakherji Mulham,Potena CiroORCID,Pretto AlbertoORCID,Bloisi Domenico D.,Nardi DanieleORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference36 articles.

1. Sensing technologies for precision specialty crop production;Lee;Comput. Electron. Agric.,2010

2. Building an aerial-ground robotics system for precision farming: An adaptable solution;Pretto;IEEE Robot. Autom. Mag.,2020

3. Fast and accurate crop and weed identification with summarized train sets for precision agriculture;Potena,2016

4. Effective vision-based classification for separating sugar beets and weeds for precision farming;Lottes;J. Field Robotics,2017

5. Weednet: Dense semantic weed classification using multispectral images and MAV for smart farming;Sa;IEEE Robot. Autom. Lett.,2018

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