Matches in SemOpenAlex for { <https://semopenalex.org/work/W3020248043> ?p ?o ?g. }
- W3020248043 abstract "In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make effective and customized crop management decisions based on data gathered from monitoring crop environments. Plant phenotyping techniques play a major role in accurate crop monitoring. Advancements in deep learning have made previously difficult phenotyping tasks possible. This survey aims to introduce the reader to the state of the art research in deep plant phenotyping." @default.
- W3020248043 created "2020-05-01" @default.
- W3020248043 creator A5038020125 @default.
- W3020248043 creator A5046075705 @default.
- W3020248043 creator A5047578156 @default.
- W3020248043 creator A5091039849 @default.
- W3020248043 date "2020-03-31" @default.
- W3020248043 modified "2023-10-05" @default.
- W3020248043 title "Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey" @default.
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