Unmanned aerial system based tomato yield estimation using machine learning-Reference-Cited by-同舟云学术

Unmanned aerial system based tomato yield estimation using machine learning

Published:2019-05-14 Issue: Volume: Page:
ISSN:
Container-title:Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV
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Author:

Ashapure Akash,Oh Sungchan,Marconi Thiago G.,Chang Anjin,Jung Jinha,Landivar Juan,Enciso Juan

Publisher

SPIE

Reference21 articles.

1. Effect of planting date and integrated nutrient management on the production potential of tomato (Solanum lycopersicon Mill.) under polyhouse condition;Singh;J. Crop and Weed,2015

2. Using NDVI and guided sampling to develop yield prediction maps of processing tomato crop

3. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

4. Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture

5. Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes in wheat

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