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Krishna N. Reddy

U.S. Department of Agriculture (USDA)

SCHOLARLY PAPERS

4

DOWNLOADS

226

TOTAL CITATIONS

0

Scholarly Papers (4)

Explainable Machine Learning Models for Corn Yield Prediction Using Uav Multispectral Data

Number of pages: 41 Posted: 01 Mar 2024
Chandan Kumar, Jagman Dhillon, Yanbo Huang and Krishna N. Reddy
Mississippi State University, Mississippi State University, U.S. Department of Agriculture (USDA) and U.S. Department of Agriculture (USDA)
Downloads 56 (1,027,773)

Abstract:

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Corn yield prediction, Ensemble model, Explainable machine learning, Multispectral, UAV

Explainable Machine Learning Models for Corn Yield Prediction Using Uav Multispectral Data

Number of pages: 41 Posted: 24 Dec 2023
Chandan Kumar, Jagman Dhillon, Yanbo Huang and Krishna N. Reddy
Mississippi State University, Mississippi State University, U.S. Department of Agriculture (USDA) and U.S. Department of Agriculture (USDA)
Downloads 47 (1,131,842)

Abstract:

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Corn, ensemble model, explainable machine learning, multispectral, yield prediction, UAV, precision agriculture

2.

Eddy Covariance Assessment of Alternate Wetting and Drying Floodwater Management on Rice Methane Emissions

Number of pages: 31 Posted: 14 Dec 2022
U.S. Department of Agriculture (USDA), U.S. Department of Agriculture (USDA), U.S. Department of Agriculture (USDA), U.S. Department of Agriculture (USDA) and U.S. Department of Agriculture (USDA)
Downloads 69 (907,769)

Abstract:

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flooded rice, Aerobic Rice, Evapotranspiration, consumptive water use, intermittent irrigation, lowland rice, greenhouse gas, climate change

3.

Eddy Covariance Quantification of Carbon and Water Dynamics in Twin-Row vs. Single-Row Planted Corn

Number of pages: 35 Posted: 17 Jan 2023
U.S. Department of Agriculture (USDA), Colorado State University, Fort Collins, affiliation not provided to SSRN, U.S. Department of Agriculture (USDA) and affiliation not provided to SSRN
Downloads 35 (1,249,711)

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water productivity, aquifers, Groundwater, Irrigated agriculture, Evapotranspiration, consumptive water use

4.

Pioneering work in quantifying crop coefficients for corn (Zea mays L.) and soybean (Glycine max L.) in rotation

Number of pages: 43 Posted: 18 Feb 2026
U.S. Department of Agriculture (USDA), Government of the United States of America - US Department of Agriculture, Texas A&M University and U.S. Department of Agriculture (USDA)
Downloads 19 (1,491,251)

Abstract:

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evapotranspiration, Eddy Covariance, consumptive water use, corn, soybean, irrigation scheduling