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ARS Home » Pacific West Area » Maricopa, Arizona » U.S. Arid Land Agricultural Research Center » Plant Physiology and Genetics Research » People & Locations » Varaprasad Bandaru
Varaprasad Bandaru
Research Plant Physiologist


Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Evaluating the Utility of Weather Generators in Crop Simulation Models for In-season Yield Forecasting - (Peer Reviewed Journal)
Rohit, N., Bandaru, V., Meduri, P., Jones, C., Lollato, R. 2024. Evaluating the Utility of Weather Generators in Crop Simulation Models for In-season Yield Forecasting. Agricultural Systems. 220. Article 104082. https://doi.org/10.1016/j.agsy.2024.104082.
Mid-season Nitrogen Management for Winter Wheat under Price and Weather Uncertainty - (Peer Reviewed Journal)
Chen, X., Chambers, R.G., Bandaru, V., Jones, C., Ochsner, T., Witt, T.W. 2024. Mid-season Nitrogen Management for Winter Wheat under Price and Weather Uncertainty. Field Crops Research. 316. Article 109509. https://doi.org/10.1016/j.fcr.2024.109509.
Mapping sugarcane residue burnt areas in smallholder farming systems using machine learning approaches - (Peer Reviewed Journal)
Pnvr, K., Bandaru, V. 2023. Mapping sugarcane residue burnt areas in smallholder farming systems using machine learning approaches. International Journal of Applied Earth Observation and Geoinformation. 6. Article 100347. https://doi.org/10.1016/j.atech.2023.100347.
Integrated economic and environmental modeling of forest biomass for renewable energy in California: Part I - Model development - (Peer Reviewed Journal)
Li, K., Kirkland, S., Yeo, B., Tubbesing, C., Bandaru, V., Song, L., Holstege, L., Hartsough, B., Kendall, A., Jenkins, B. 2023. Integrated economic and environmental modeling of forest biomass for renewable energy in California: Part I - Model development. Biomass and Bioenergy. 173. Article 106774. https://doi.org/10.1016/j.biombioe.2023.106774.
Evaluating optical remote sensing methods for estimating leaf area index for corn and soybean - (Peer Reviewed Journal)
Nandan, R., Bandaru, V., He, J., Daughtry, C.S., Gowda, P.H., Suyker, A. 2022. Evaluating optical remote sensing methods for estimating leaf area index for corn and soybean. Remote Sensing. 14(21). Article 5301. https://doi.org/10.3390/rs14215301.