Email: info@datastatresearch.org
Telephone: +254724527104


Training Course on Gis And Remote Sensing For Agricultural Resource Management┬╗

Training Course on Gis And Remote Sensing For Agricultural Resource Management; Nairobi and Mombasa, Kenya

The efficiency and accuracy of data are improved when remote sensing data products and GIS are used. For optimum utilization of available agricultural land resources on a sustainable basis, timely and reliable information regarding their nature, extent and spatial distribution along with their potential and limitations is very important. Spatial tools such as the Global Positioning System (GPS), Geographic Information Systems (GIS) and Remote Sensing (RS) for storing and analyzing spatial data can help us make better decisions in agriculture, land development, environmental protection and restoration. 

Target Group 

This course targets; Agricultural experts, soil scientists, Animal Scientists, agronomist, entomologists, ranch managers, farm managers, environmentalist, farmers and students.

Duration

5 days

Course Objectives

i.                    Understand the basic concepts of GIS and Remote Sensing

ii.                  Understand various integrations of GIS and RS Agriculture 

iii.               Understand how precision farming and how it’s applied in Agriculture 

iv.               Understand Digital Image Processing Techniques in Agriculture Resource Management 

v.                  Understand Precision farming using GIS and RS for Crop management 

vi.               Expose participants in GIS and RS applications in Water management in agriculture 

vii.             Understand GIS and RS applications in disease/pest management 

viii.           Understand participatory method in agriculture resource management in context of GIS and GIS 

ix.                Publish dynamic and interactive agriculturally based map in the internet  

Course content

a.      Introduction to GIS and Remote Sensing 

b.      GIS and RS Agriculture 

c.       Precision farming in Agriculture 

d.     Digital Image Processing Techniques in Agriculture Resource Management 

e.      Precision farming using GIS and RS for Crop management 

f.        GIS and RS applications in Water management in agriculture 

g.      GIS and RS applications in disease/pest management.

h.      Interactive agriculturally based map in the internet  

Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Key Notes

i. The participant must be conversant with English.

ii. Upon completion of training the participant will be issued with an Authorized Training Certificate

iii. Course duration is flexible and the contents can be modified to fit any number of days.

iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.

v. One-year post-training support Consultation and Coaching provided after the course.

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Fee: Ksh 90,000, USD 1,100

Course Schedule

Start Date End Date Action
. 02/10/2023 06/10/2023 Register
. 04/09/2023 08/09/2023 Register
. 07/08/2023 11/08/2023 Register
. 03/07/2023 07/07/2023 Register
. 05/06/2023 09/06/2023 Register
. 08/05/2023 12/05/2023 Register
. 03/04/2023 07/04/2023 Register
. 20/02/2023 24/02/2023 Register
. 06/03/2023 10/03/2023 Register
. 04/12/2023 08/12/2023 Register
. 17/04/2023 21/04/2023 Register
. 22/05/2023 26/05/2023 Register
. 19/06/2023 23/06/2023 Register
. 17/07/2023 21/07/2023 Register
. 21/08/2023 25/08/2023 Register
. 18/09/2023 22/09/2023 Register
. 16/10/2023 20/10/2023 Register
. 20/11/2023 24/11/2023 Register
. 18/12/2023 22/12/2023 Register
. 20/03/2023 24/03/2023 Register
. 06/11/2023 10/11/2023 Register

Contact Us

Mobile No: +254724527104/ +254734969612

Email Add: info@datastatresearch.org

Postal Add: 5402-00100

Head Office: College House , Along University Way , Nairobi, Kenya