Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-022-00736-9.pdf
Reference68 articles.
1. Araus JL, Cairns JE (2014) Field high-throughput phenotyping: the new crop breeding frontier. Trends Plant Sci 19(1):52–61. https://doi.org/10.1016/j.tplants.2013.09.008
2. Arif S, Kumar R, Abbasi S, Mohammadani K, Dev K (2021) Weeds detection and classification using convolutional long-short-term memory. Res Sq. https://doi.org/10.21203/rs.3.rs-219227/v1
3. Bah MD, Hafiane A, Canals R (2018) Deep learning with unsupervised data labeling for weed detection in line crops in uav images. Remote Sens. https://doi.org/10.3390/rs10111690
4. Ball KR, Power SA, Brien C, Woodin S, Jewell N, Berger B, Pendall E (2020) High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture. PloS One 15(10):e0239673
5. Bella D, Faivre R, Ruget F, Seguin B, Guerif M, Combal B, Weiss M, Rebella C (2004) Remote sensing capabilities to estimate pasture production in france. Int J Remote Sens 25(23):5359–5372. https://doi.org/10.1080/01431160410001719849
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