INTRODUCTION TO PRECISION AGRICULTURE

FISC 145

Precision agriculture can aid in reducing inputs for crop production. Course provides an overview of precision agriculture technologies and will cover Global Positioning Systems, Geographic Information Systems, variable rate technology, section/flow control, soil and yield mapping, and guidance systems. Economics of the different technologies will be discussed. Previous experience with precision agriculture systems is not required.

BSE 380

Agricultural and life scientists need to creatively apply physical, chemical, and biological principles to address technical, business, and environmental challenges. Many of these challenges involve numerical analyses, including the interpretation of large datasets. The fundamentals of computer coding using numerical software will be taught, using real-world data science challenges from the agricultural and life sciences.

BSE 405

Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector. Covers topics related to advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making. Introduces both theoretical concepts and practical insights into real-world AI implementation in agriculture.

PLANTSCI 310

Explores the application of plant science and current technologies in both field and controlled environments to enhance crop production. Analyzes the impacts of these technologies on agroecosystem structure and function, examining the trade-offs that affect productivity, profitability, environmental sustainability, and social outcomes.

BSE 301

An introduction to land information management through the principles of geospatial technologies and methods for analysis and interpretation of geospatial data. Includes both the basic land surveying technology and advanced remote observation of land resources by airborne and space-based sensors.