BAE 599
Topics in Biosystems and Agricultural Engineering: Precision Agriculture
Spring Semester 2007
Course Syllabus
Course
Description
A
course designed for students who desire to understand the acquisition and
analysis of geographically referenced data for the management of crop production
systems. Topics include: mapping, map projections, implementation of global
positioning systems, data formats, geographic information systems, grid
sampling, soil fertility and physical properties, yield monitoring,
variable-rate application, crop modeling and economics.
Course
Rationale
Grain producers
have long recognized that variability exists within individual fields.
Traditional cropping practices dictate that producers treat these production
units on a "field-average" basis -- that is to treat the entire field
the same. With the advent of the Global Positioning System (GPS) it is now
possible to vary inputs in accordance with localized conditions. This coupled
with the capacity to monitor yields and generate yield maps has given producers
new tools to manage variability and optimize production. This course is designed
to provide students with a fundamental understanding the essential tools for
collecting, organizing and presenting geographically referenced crop production
data. An in depth treatment of "state-of-the-art" equipment and
practices is presented. The course is open to upper level undergraduate students
and graduate students enrolled in the College of Agriculture, or Biosystems and
Agricultural Engineering.
Course
Objectives
1.
Students will develop a working knowledge of concepts and
principles of precision agriculture.
2.
Students will learn to collect and create spatially
referenced data sets and then integrate into a GIS along with other
spatial data sources for analysis.
3.
Students will learn to develop precision agriculture
management plans to increase profitability, and reduce economic and
environmental risks associated with agricultural production.
Course Administration
Location:
Room 246, C.E. Barnhart Building
Hours:
Lecture, 11:00-11:50 AM, Monday,
Wednesday and Friday
Software:
Word 2000
by Microsoft
Excel 2000 by Microsoft
ArcGIS 9.0 by ESRI, Inc.
Web Site URL:
http://www.bae.uky.edu/precag/BAE599/BAE_599.htm
Instructor:
|
Carl
R. Dillon, Ph.D. |
|
|
Thomas
G. Mueller, Ph.D. |
|
|
Name: |
Scott
A. Shearer, Ph.D., P.E. |
Grading Schedule:
Projects - 75%
Final Exam - 25%
Final Grades:
A > 92%
92% > B > 83%
83% > C > 74%
74% > D > 65%
65% > E
Final Exam:
Wednesday, May 4, 2005, 10:30 AM to 12:30 PM, 246 C.E. Barnhart Bldg.
Assignments
Projects
will be assigned in class via hard copy. In the event that you miss a class, all
handouts will be available on the course web page the next working day.
Assignments will include a due date not less than one week after the project
assignment is made. This schedule will allow students to ask questions prior to
submission of their work. Please take advantage of this schedule by starting
assignments early.
All
work is to be an individual effort unless otherwise noted. Academic
Misconduct will not be tolerated e.g. plagiarism (Please see Students Rights and
Responsibilities at http://www.uky.edu/StudentAffairs/Code/
). Submissions with consistent and similar errors will be given a score
of zero. When using electronic media to solve an assignment you are required to
submit both hard and electronic copies. All submissions must include your name
prominently displayed at the top of the first page or at the beginning of the
file. Failure to include your name on an assignment will result in a score of
zero for that assignment. All submissions via e-mail must originate from your
personal e-mail account and must include a signature with your name, major and
school address.
In
addition to the 14 projects assigned each week, there will be a 15th
project assigned which includes attending the Annual Precision Agriculture
Conference held
at the Kentucky
Fair & Exposition Center in Louisville, KY (http://www.bae.uky.edu/precag/conference.htm). This
project will require students to write a summary paper on a topic(s) presented
at the conference. Students unable to attend will be assigned a precision
agriculture topic to be investigated and summarized. More information will be
provided during the semester.
Assignments
are to be submitted through electronic media (i.e., MS Word, MS Excel, ArcGIS
8.3, etc.). Failure to submit neatly organized assignments will
result in minimal, partial-credit, or no credit at all. Late assignments will
not be tolerated. You are expected to hand in homework and lab reports on the
assigned date. Failure to do so will result in a score of zero.
Examinations
The
final examination will be comprehensive in nature. Portions of each exam may be
either closed or open-book. You will be notified of the exam format at least one
week in advance.