UAT 365 · 3(1-4-4) · Year/term 2/1

Unmanned Aircraft Systems Technology for Smart Agriculture and Remote Sensing

เทคโนโลยีระบบอากาศยานไร้คนขับเพื่อเกษตรอัจฉริยะและการสำรวจระยะไกล

Progress
Notional hours: 135 h (online/self-study 60 · in class/lab 75)

Course description

application of unmanned aircraft in precision agriculture, field-survey planning, use of RGB, multispectral, and thermal cameras, generation of field maps and surface models, vegetation-index analysis, assessment of crop health and spatial variability, and use of data to support agricultural management

Thai description

การประยุกต์อากาศยานไร้คนขับในเกษตรแม่นยำ การวางแผนสำรวจแปลง การใช้กล้อง RGB หลายช่วงคลื่น และความร้อน การสร้างแผนที่แปลงและแบบจำลองพื้นผิว การวิเคราะห์ดัชนีพืชพรรณ การประเมินสุขภาพพืชและความแปรปรวนของพื้นที่ และการใช้ข้อมูลเพื่อสนับสนุนการจัดการเกษตร

Description source: Curriculum draft (revised 28 Sep 2026)Previous site code: DRT 457
Notes for the curriculum committee
  • เอกสารระบุว่าอาจใช้กับหลักสูตร 4 ปีด้วย

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Apply UAS to smart agriculturePLO5
CLO2Analyse multispectral data and vegetation indicesPLO4
CLO3Plan spraying or seeding safely and lawfullyPLO3PLO6

Learning modules

1Agricultural drones
Weeks 1–3 · 27 h
Lesson 80 minquiz1 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

2Multispectral data
Weeks 4–6 · 27 h
Lesson 90 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

3Vegetation indices and GIS
Weeks 7–9 · 27 h
Lesson 90 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

4Spraying and seeding
Weeks 10–12 · 27 h
Lesson 90 minquiz3 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

5Spatial decision-making
Weeks 13–15 · 27 h
Lesson 90 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

Assessment (draft)

Laboratory performance50%
Reports and lab notebook20%
Practical examination30%

Knowledge domain

Key references

  1. Food and Agriculture Organization & International Telecommunication Union. (2018). E-agriculture in action: Drones for agriculture. FAO. link
  2. Lillesand, T., Kiefer, R. W., & Chipman, J. (2015). Remote sensing and image interpretation (7th ed.). Wiley. link