Author

Sudip Kunwar

Observed names: Kunwar Sudip, Kunwar, Sudip

Institutions: Langston University, University of Florida, Institute of Food and Agricultural Sciences

Observed institutions: Langston University, University of Florida, Southwest Florida Research, Institute of Food and Agricultural Sciences

ORCID: 0009-0009-9360-8894

Observed ORCID: 0009-0009-9360-8894

OpenAlex ID: A5074887001

Crop Diversification for Improved Weed Management: A Review

2021 · Gourav Sharma, Swati Shrestha, et al. · Agriculture · 168

Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning

2021 · Lucas Costa, Sudip Kunwar, et al. · Precision Agriculture · 84

Field Performance of ‘Hamlin’ Orange Trees Grown on Various Rootstocks in Huanglongbing-endemic Conditions

2021 · Sudip Kunwar, Jude Grosser, et al. · HortScience · 35

Field performance of ‘Valencia’ orange trees on diploid and tetraploid rootstocks in different huanglongbing-endemic growing environments

2022 · Sudip Kunwar, Bo Meyering, et al. · Scientia Horticulturae · 22

Enhancing genomic‐based forward prediction accuracy in wheat by integrating UAV‐derived hyperspectral and environmental data with machine learning under heat‐stressed environments

2025 · Jordan McBreen, Md Ali Babar, et al. · The Plant Genome · 20

Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates

2025 · Sudip Kunwar, Md Ali Babar, et al. · The Plant Genome · 12

Leveraging Multi-Omics Data with Machine Learning to Predict Grain Yield in Small vs. Big Plot Wheat Trials

2025 · Jordan McBreen, Md Ali Babar, et al. · Agronomy · 8

Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches

2026 · Sudip Kunwar, Md Ali Babar, et al. · Frontiers in Plant Science · 3

Effectiveness of low‐density high‐throughput marker platform and easy‐to‐measure traits for genomic prediction of biomass yield in oat ( Avena sativa L.)

2026 · Samuel A. Adewale, Md Ali Babar, et al. · The Plant Genome · 3

Genomic prediction for stem rust resistance in the southern United States elite oat (Avena sativa L.) germplasm

2026 · Janam Prabhat Acharya, Naeem Khan, et al. · Frontiers in Plant Science · 1

Deciphering the genetic basis of yield components in wheat by integrating hyperspectral-based phenomes

2026 · Sudip Kunwar, Md Ali Babar, et al. · Plant Phenomics

Uncovering the genetic architecture of biomass yield and related traits in Southern US oat germplasm using genome-wide association study

2026 · Samuel A. Adewale, Md Ali Babar, et al. · Theoretical and Applied Genetics

Data for Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches

2026 · Kunwar, Sudip, Babar, Ali, et al. · Zenodo (CERN European Organization for Nuclear Research)

High-Throughput Phenotyping for Membrane Thermostability: Strategies to Enhance Heat Stress Tolerance in Wheat

2026 · Victor Signorini, Jordan McBreen, et al. · SSRN Electronic Journal

Works count: 15

Citation count: 356

H-index: 7

I10-index: 6