Author

Anand Sahil

Indian Council of Agricultural Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Plant Biology· 1

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Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:plant (other)· 1 Assay:proteomics· 1

Frequent Co-Authors

Bismark AnokyeiD· 1 shared Daya Shankar MishraiD· 1 shared Jagadish RaneiD· 1 shared Levitikos Dembure· 1 shared Nezif Abajebal Abadura· 1 shared P Satheesh KumariD· 1 shared Peter AmoahiD· 1 shared Poonam DeviiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

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1 paper

Recent·Most cited

Integration of Morphometric and Machine Learning Approaches Strengthens Yield Prediction and Genetic Divergence Assessment in Annona reticulata under Semi-Arid Conditions.

Vikas Yadav, Daya Shankar Mishra, Jagadish Rane, V.V. Apparao, Levitikos Dembure, Prakashbhai Ravat, Nezif Abajebal Abadura, P Satheesh Kumar, Bismark Anokye, Anand Sahil, Poonam Devi, Peter Amoah

This study combines morphometric data and machine learning to identify yield predictors in Annona reticulata under semi-arid conditions, revealing key traits and grouping genotypes by performance and structure.

bioRxiv · May 18, 2026 · PreprintPlant Biology