INTRODUCTION

This program has been designed to build the capacity of professionals in management of successful agricultural census. The program will expose delegates to fundamental concepts and principles based on international standards, to ensure that the quality of agricultural census results are comparable with international benchmarks. This agricultural census training program will be helpful for participants in the provision of reliable current data relating to crop and livestock production for the census year as well as generate useful standard for improving current crop and livestock statistics Data generated from agricultural census can have strong impact on the development of national agricultural policy. Reliable and timely agricultural data provide producers and governments the information they need to make well-informed decisions in business and policy. Accurate agricultural census helps to generate data usable for improvement of food security by informing the development of strategies to combat poverty and measure the impact of interventions. Agricultural census uses statistics compiled according to agreed on good practices, including practices for data collection, processing and dissemination, are crucial for economic and social development, providing an objective and replicable picture of the state of an economy, enabling comparisons, and setting baselines for measuring progress.

 

PROGRAM OBJECTIVES

The program will help participants:

  • To update the current agricultural holdings framework
  • To get detailed data on agricultural holders and their social characteristics;
  • To get detailed data on the labor force by labor category, gender and nationality, in addition to obtaining detailed data about permanent labor by the education level;
  • To create an integral relation between the agricultural census and the specialized statistical surveys, implemented periodically by way of statistical sampling, with the aim of ensuring inclusiveness in monitoring all achievements in various sub-activities covered by plant and animal agricultural activity;
  • To conduct local, regional and international comparisons for the agricultural sector.
  • To acquire detailed data on the structure of agricultural holdings in terms of the following variables:
    • Total cultivated areas
    • Utilizations of these areas by the agriculture type and the production specialization
    • System and sources of the irrigation and the used energy
    • Crop structure (permanent, winter and summer) ◦Data on the protected agriculture of
      vegetables and cut flowers
    • Numbers and types of fruiting and non-fruiting palm trees
    • Numbers and types of fruitful and fruitless permanent trees, except palm trees
    • Number of livestock included in traditional and specialized holding
    • Number of birds and poultry in traditional and specialized holding ◦Data on fish aquaculture farms
    • Data on the number of hives in holdings
    • Number of the used agricultural machines,
    • Data on buildings and constructions by type, number and area of lands or floor area ratios of these buildings and constructions
    • Data on agricultural extension sources
    • Data on funding sources in agricultural holdings

 

COURSE OUTLINE

  • Overview of Agriculture and Rural Statistics
  • Introduction to data, information, variables, parameters and measures of central tendency, introduction to dispersion
  • Counting Techniques and Basics of Probability & probability distribution
  • Measurement of dispersion, data distribution and Normal Distribution, Basics of Inference
  • Practical Exercise. Hand-on Data base, use of formula on MS Excel to calculate population parameters
  • Sampling – Basic Concepts: Sampling vs census, Sampling elements (sampling units, Frame, concept of unbiasedness) Classical sampling techniques: SRSWR, SRSWOR, Cluster Sampling, Stratified Sampling, Systematic Sampling estimation of mean and proportion and sampling variance
  • Practical Exercise. Sample Selection by SRSWOR, Stratification, clustering
  • Stratification, cluster formation and multi- stage sampling – Implication on efficiency, determination of sample size, workload.
  • Practical exercise: Estimate of parameters using different designs
  • Presentation and discussion of result
  • Basics of Sampling Frame and Ratio Estimates – Data collection Methods and Non-Sampling Errors

 

WHO SHOULD ATTEND?

This course will be of great benefits to Project Officers, Project Managers, Team Leaders, Project Committee Members, Project Officers, Public Officers, Project Directors, Senior Administrators, Project Directors, Project Accountants, Budget Officers, Senior Auditors, Managers, Consultants, Engineers, Project Administrators, Auditors and professionals who want to build their skills in project management.

 

VENUE:

  • DUBAI, UAE
  • CAPE TOWN, SOUTH AFRICA
  • MAURITIUS
  • TANZANIA
  • NAIROBI, KENYA
  • KUALA LUMPUR, MALAYSIA

 

REGISTRATION:

To register for this course please apply online at: www.dotrid.com/apply-online or complete and forward our nomination form obtainable via email from: info@dotrid.org or call +27215519023, You can also send an inquiry via:

WhatsApp:+27 604 253 288.

IMO: +27 604 253 288.

Telegram:  +27 604 253 288.

 

COURSE DATES:

13-17 MAY, 2019

15 -19 JULY, 2019

16 – 20 SEPT 2019

7-11 OCT, 2019

4-8 NOVEMBER 2019

2- 6 DEC 2019

 

YOUR TRAINING INVESTMENT

The cost of your course depends on factors including the number of delegates, specific requirements and the location of your training.

Dotrid International Training Institute will provide a detailed and competitive quote following your initial enquiry.

 

Course Curriculum

Fundamentals of dispute resolution
Practical Dispute Resolution
Law systems
Common law system
International arbitration
Arbitration : Process and Application

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