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Precision Agriculture (year 2019)

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Precision Agriculture (year 2019)

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Academic year 2018/2019

Course ID
PrecAgr
Teaching staff
Prof. Paolo Gay (Titolare del corso)
Prof. Francesco Vidotto (Titolare del corso)
Prof. Dario Sacco (Titolare del corso)
Prof. Enrico Corrado Borgogno Mondino (Titolare del corso)
Dott. Alessandra Ferrandino (Titolare del corso)
Degree course
Didattica generale
Type
Generale
Credits/Recognition
5
Language
Inglese
Attendance
Obbligatoria
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Sommario del corso

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Program

The course is composed by 5 modules, each module will last 8 hours.

Precision farming:  (P. Gay)

  • Introduction to precision farming: aims and scope
  • Management of spatial and temporal variability
  • Yield mapping, sensors and proximal sensing techniques
  • Machines for variable rate applications

 

Geomatics for Precision Agriculture (E. Borgogno)

  • Expected Roles of Geomatics in PA
  • Positioning

a.      Coordinate Reference Systems

b.      GNSS fundamentals

  • Detection and Mapping

a.      Basics of Photogrammetry by RPAS

b.      Basics of Remote Sensing: Satellite vs RPAS

 

Site-specific fertilisation for improving resource use efficiency (D. Sacco)

This part of the course will deal with the potential of precision agriculture to improve fertiliser use efficiency. Main issues dealt during the seminar will face the following different concepts:

  • Improving Nutrient Use efficiency in the agroecosystem
  • Describing soil P and K content variability using geostatistical tools
  • Application of variable rate fertilisation
  • Using spectral measurements to tune nitrogen application
  • Algorithm calibration for determining N requirement

 

Application of precision farming to weed management (F. Vidotto)

  • Main traits of weed infestations and their spatial variability
  • Conventional and Site-Specific Weed Management (SSWM)
  • Examples of on-line (real-time) and off-line systems for SSWM
  • Applications in agriculture and in non-agricultural areas

 

Chlorophyll fluorescence-based screening method in precision agriculture (A. Ferrandino)

  • Description of the chlorophyll fluorescence-based screening method.
  • The chlorophyll fluorescence-based screening method for proximal sensing of:
  1. Fruit quality (total soluble solids and polyphenolic content).
  2. Early detection (before symptom appearance) of pathogen attacks in leaves.
  3. Estimation of leaf N content.
  • Mapping berry quality in the vineyard as a decision tool to manage harvest. 

Suggested readings and bibliography



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ATTENTION! Please consult periodically the course webpage to keep updated on rooms and on changes that may occur in the course schedule (there will be no more communication about).

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Last update: 15/01/2019 09:30

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