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INTRODUCTION TO PRECISION AGRICULTURE

BSE 305
과목 설명

Introduces managing agricultural production systems using Precision Agriculture (PA), including its modern extensions in smart and digital farming. Provides an overview of the fundamentals of agricultural production systems and the sources of crop variability. Explores geographic positioning and information systems, examining how these tools integrate yield and quality sensors to monitor spatial variability. Covers temporal observation techniques using remote and proximal sensing systems. Culminates in studying the technologies used for implementing and managing variable-rate prescriptions and other management interventions.

선수과목

Sophomore standing

충족 요건

This course does not satisfy any prerequisites.

학점

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개설 시기

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평점
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변화 계산 불가

수료율
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변화 계산 불가

A 비율
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변화 계산 불가

학급 규모
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과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

PRECISION AGRICULTURAL TECHNOLOGIES

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.

INTRODUCTORY DATA SCIENCE FOR THE AGRICULTURAL AND LIFE SCIENCES

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.

ARTIFICIAL INTELLIGENCE IN AGRICULTURE

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.

PLANT SCIENCE AND TECHNOLOGY IN CROPPING SYSTEMS

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.

LAND INFORMATION MANAGEMENT

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.