Joby Prince Czarnecki

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Associate Research Professor

Mississippi State University

United States

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About

Joby Prince Czarnecki is an Associate Research Professor at Mississippi State University in the United States. His research focuses on remote sensing, crop science, and sustainable agricultural practices, as reflected in his recent publications. Notable areas of study include the impacts of furrow irrigation spacing on corn production, nitrous oxide fluxes in cropping systems, and the application of unmanned aerial vehicles in agriculture.

Recent Grants

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ENHANCING ACCESSIBILITY, RELIABILITY, AND VALIDATION OF ACTIONABLE INFORMATION FROM UNMANNED AERIAL VEHICLE IMAGE DATA

Open Date: 2018-04-15

Close Date: 2021-04-14

Articles (15)

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John Ramirez Avila

Associate Professor

Mississippi State University

UNITED STATES

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Jing Hu

Assistant Research Professor

Mississippi State University

UNITED STATES

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Sathishkumar Samiappan

Assistant Research Professor

Mississippi State University

UNITED STATES

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Joby Prince Czarnecki

Research Interests

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About

Recent Grants

Articles (15)

A brief history of remote sensing of soybean

Nitrous oxide fluxes during a winter cover crop season in a Mississippi corn cropping system

Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?

Furrow irrigation spacing effects on corn production in vertisols of the Mississippi Delta

Cover crops and reduced tillage did not alter soil chemistry in first 3 years

Short-Term Contribution of Conservation Practice Implementation to Water Quality Impairments in Small Streams

Estimation of the economic impacts and operational limitations imposed on unmanned aerial systems by poor sky conditions

NDVI/NDRE prediction from standard RGB aerial imagery using deep learning

Transitioning from conventional to cover crop systems with minimum tillage does not alter nutrient loading

The problem with open geospatial data for on‐farm research

An ArcGIS Pro workflow to extract vegetation indices from aerial imagery of small‐plot turfgrass research

Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing

Aerial and ground‐based assessments of preemergence herbicide effects on st. augustinegrass grow‐in

Ground versus aerial canopy reflectance of corn: Red‐edge and non‐red edge vegetation indices

Cover crop and minimum tillage effects on yield, irrigation water use, and net returns

Collaborators (8)

Xiaofei Li

Drew Gholson

Robert J. Moorhead

Leslie Burger

Mary Ann Jones

John Ramirez Avila

Jing Hu

Sathishkumar Samiappan

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