Search Results

ScAnalyzer: an image processing tool to monitor plant disease symptoms and pathogen spread in Arabidopsis thaliana leaves.

• Authors : Paauw, Misha¹ (AUTHOR); Hardeman, Gerrit² (AUTHOR); Taks, Nanne W.¹ (AUTHOR)

• Source: Plant Methods. 5/31/2024, Vol. 20 Issue 1, p1-11. 11p.

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Workflow for phenotyping sugar beet roots by automated evaluation of cell characteristics and tissue arrangement using digital image processing.

• Authors : Nause, Nelia¹ (AUTHOR); Ispizua Yamati, Facundo R.¹ (AUTHOR) ; Seidel, Marion² (AUTHOR)

• Source: Plant Methods. 3/31/2023, Vol. 19 Issue 1, p1-14. 14p.

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Quantification of spatial metal accumulation patterns in Noccaea caerulescens by X-ray fluorescence image processing for genetic studies.

• Authors : van der Zee, Lucas¹ (AUTHOR); Corzo Remigio, Amelia² (AUTHOR); Casey, Lachlan W.³ (AUTHOR)

• Source: Plant Methods. 8/3/2021, Vol. 17 Issue 1, p1-16. 16p.

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Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz).

• Authors : Selvaraj, Michael Gomez¹ (AUTHOR) ; Valderrama, Manuel¹ (AUTHOR); Guzman, Diego¹ (AUTHOR)

• Source: Plant Methods. 6/14/2020, Vol. 16 Issue 1, p1-19. 19p.

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Low-cost and automated phenotyping system "Phenomenon" for multi-sensor in situ monitoring in plant in vitro culture.

• Authors : Bethge, Hans^1,2 (AUTHOR) ; Winkelmann, Traud² (AUTHOR); Lüdeke, Patrick³ (AUTHOR)

• Source: Plant Methods. 11/24/2023, Vol. 19 Issue 1, p1-25. 25p.

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An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution.

• Authors : Harline, Kate^1,2 (AUTHOR); Roeder, Adrienne H. K.^1,2 (AUTHOR)

• Source: Plant Methods. 2/1/2023, Vol. 19 Issue 1, p1-14. 14p.

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Visual-language transformer-based tomato leaf disease detection for portable greenhouse monitoring device.

• Authors : Kaur, Manveen¹ (AUTHOR) ; Singh, Rajmeet² (AUTHOR) ; Alirezaee, Shahpour¹ (AUTHOR)

• Source: Plant Methods. 10/28/2025, Vol. 21 Issue 1, p1-17. 17p.

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Optimized deep learning framework for pomegranate disease detection using nature-inspired algorithms.

• Authors : Sandhi, Anil¹ (AUTHOR) ; Kumar, Rajeev¹ (AUTHOR) ; Bhardwaj, Reeta¹ (AUTHOR)

• Source: Plant Methods. 10/3/2025, Vol. 21 Issue 1, p1-36. 36p.

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Recent advances in plant disease detection: challenges and opportunities.

• Authors : Shafay, Muhammad; Hassan, Taimur; Owais, Muhammad

Subjects: DEEP learning; HYPERSPECTRAL imaging systems; ARTIFICIAL intelligence

• Source: Plant Methods; 10/28/2025, Vol. 21 Issue 1, p1-44, 44p

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Plant recognition of maize seedling stage in UAV remote sensing images based on H-RT-DETR.

• Authors : Wu, Yunlong^1,2,3 (AUTHOR); Yuan, Shouqi^1,3 (AUTHOR); Tang, Lingdi^1,3 (AUTHOR)

• Source: Plant Methods. 5/14/2025, Vol. 21 Issue 1, p1-14. 14p.

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