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Automated detection, shape classification, and counting of leaves and fruits from bunch leaf and fruit image using deep learning models for smart agriculture and forestry

Swajan Golder^a, Hafsa Sultana^a, Abdullah Al Noman^a, Rafflesia Khan^b, Anupam Kumar Bairagi^a✉, Rameswar Debnath^a✉

^aComputer Science and Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh
^bSoftware developer, IBM, Dublin, Ireland
✉Corresponding author

Multimedia Tools and Applications Springer Science+Business Media2026-02-01 1 citations34 references

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TL;DRThis paper proposes deep learning models to detect and classify the shape (partial, full) of individual leaves from bunch leaf images and to count individual fruits from bunch fruit images as they are used in various measurements in agriculture and forestry. (Semantic Scholar)

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Automated detection, shape classification, and counting of leaves and fruits from bunch leaf and fruit image using deep learning models for smart agriculture and forestry

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