Editorial: AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II
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Citing Articles
Algorithm for UAV path planning in high obstacle density environments: RFA-star.
Zhang W, Li J, Yu W, Ding P, Wang J, Zhang X Front Plant Sci. 2024; 15:1391628.
PMID: 39483676 PMC: 11524861. DOI: 10.3389/fpls.2024.1391628.
Cembrowska-Lech D, Krzeminska A, Miller T, Nowakowska A, Adamski C, Radaczynska M Biology (Basel). 2023; 12(10).
PMID: 37887008 PMC: 10603917. DOI: 10.3390/biology12101298.
References
1.
Watt M, Fiorani F, Usadel B, Rascher U, Muller O, Schurr U
. Phenotyping: New Windows into the Plant for Breeders. Annu Rev Plant Biol. 2020; 71:689-712.
DOI: 10.1146/annurev-arplant-042916-041124.
View
2.
Atefi A, Ge Y, Pitla S, Schnable J
. Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives. Front Plant Sci. 2021; 12:611940.
PMC: 8267384.
DOI: 10.3389/fpls.2021.611940.
View
3.
Hu N, Su D, Wang S, Nyamsuren P, Qiao Y, Jiang Y
. LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture. Front Plant Sci. 2022; 13:1003243.
PMC: 9562178.
DOI: 10.3389/fpls.2022.1003243.
View
4.
Qiao Y, Valente J, Su D, Zhang Z, He D
. Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture. Front Plant Sci. 2022; 13:1064219.
PMC: 9727372.
DOI: 10.3389/fpls.2022.1064219.
View