MEASURING FOOD LOSSES Session 4: Sampling design.

Slides:



Advertisements
Similar presentations
Ministry of Agriculture Food Security and Cooperatives
Advertisements

Multistage Sampling Module 3 Session 9.
Harvesting and Threshing of Paddy Next. Introduction Cutting: cutting the panicles and straw. Harvesting and Threshing of Paddy Harvesting is the process.
LRP Market Monitoring Training LOCAL AND REGIONAL PROCUREMENT 4. Introduction to Prices.
Harvesting and Threshing of Paddy
NextEnd. Time and stage of harvest and harvesting techniques for rice Abstract: Identification of maturity and correct stage of harvest is one of the.
90kg Rice Challenge. This is Howard. He is one of the farmers who grows the rice. He has three children but also looks after his brother’s family.
Presented by: Wosen Gezahegn, Amref Health Africa- Ethiopia
Balances of major agricultural products (slide to the report) Balances of major agricultural products (slide to the report) Aurora Garabazhiu-Head of Agricultural.
Unit F: Harvesting Fruits and Nuts Lesson 3: Market Fruits and Nuts 1.
NextEnd. Supply Chain Management – Definitions Supply chain management is the management of a network of interconnected businesses involved in the ultimate.
PHYSICAL DISTRIBUTION. Logistics & Supply Chain Logistics Component parts & Raw material In-process inventory Finished goods Supply Chain.
Packaging of Banana.
Integrated household based agricultural survey methodology applied in Ethiopia, new developments and comments on the Integrated survey frame work.
Attempts to improve Post Harvest Management of Rice in Delta WHH & GRET LIFT Workshop - Yangon - 29 November 2012.
SAMPLING PROCEDURES.
1 Estimation Methodology of Major Crops by BBS Presented by Satya Ranjan Mondal Bangladesh Bureau of Statistics Statistics and Informatics Division Ministry.
History of Production Agriculture
The Goldilocks Approach: Using Agriculture Resources for Improved Nutritional Outcomes Paul Sommers Mercy Corps TOPS FSN Meeting Addis Ababa 2012.
INTRODUCTION AND IMPROVEMENT OF POST- HARVEST AND GRAIN STORAGE SYSTEMS IN THE BAY REGION-SOMALIA Presented at the Regional Workshop on Dryland Farming.
MARKETING COSTS IN ALTERNATIVE MARKETING CHANNELS Shermain Hardesty & Penny Leff University of California Small Farm Program.
Lesson 2: Marketing. Outline of presentation Goals of marketing lesson Basic marketing concepts – Knowing your customer – Defining wholesale vs. retail.
MABS APPROACH TO AGRICULTURAL MICROFINANCE Module 1, Session 2 The Value Chain Framework: Making it Work for Small Farmers.
Economic Scope of the Food Industry. Food Industry The food industry is involved in the production, processing, storage, preparation, and distribution.
Post Harvest Losses NEXT. Post Harvest Losses Introduction Lowers the price for the consumer and increases the farmer’s income. Utilizing improved post.
1 Dr. Jen-Pin CHEN Deputy Director General Deputy Director General Agriculture and Food Agency Council of Agriculture Chinese Taipei August, 2013 Public.
Precision Ag in Hay Production Brian Sheffield SOIL 4213.
Rice post harvest management-Bangladesh context
 PACKER  DISTRIBUTOR  CONSUMER  WHOLESALER  TRUCKER  HARVESTER  PROCESSOR  PRODUCER  GRADER  RETAILER.
1 Member Economy Report Current status and strategies on Food Losses in Viet Nam APEC Seminar on Strengthening Public-Private Partnership to Reduce Food.
Enhancing the status of food security in Tanzania: exploring the potential of reducing post- harvest losses.
CONSUMER AND WHOLESALES PRICES ON ORGANIC FARMING MIPAAF-Italy TAPAS – n°
Nagraj Rao Statistician Asian Development Bank CROP CUTTING: AN INTRODUCTION.
Ch10 – Agriculture – Part
Crop Cutting Questionnaire (Part B) R-CDTA 8369: Innovative Data Collection Methods for Agricultural and Rural Statistics Training on Crop Cutting
Nagraj Rao Statistician Asian Development Bank CROP CUTTING: AN INTRODUCTION.
Modern Day Farm Yard Farming in the 21 st
ECONOMIC EVALUATION OF IMPROVED GRAIN STORAGE TECHNOLOGY IN TANZANIA Hanney Mbwambo, Bekele Kotu and Zena Mpenda Africa RISING Writeshop White Sand Hotel.
ATAKORA Eric Takyi , OSEI- TUTU Olivia Atakora, Dennice Okrah
Place – Marketing Mix 4.5 The four Ps.
What is a SuperGrow Container?
Sampling Why use sampling? Terms and definitions
Post Harvest Handling & Value Addition
Sampling Methodology for Rice Crop Cutting Pilot Survey
Protocol for on-farm testing trial for RiceAdvice-WeedManager
DEMONETIZATION IMPACT ON AGRICULTURE SECTOR IN INDIA
Food Balance Sheets FBS component: Loss.
Group-VI Review of Post Harvest Management (PHM) & Value Chain
SUPPLY CHAIN MANAGEMENT
DETERMINANTS OF MARKET PARTICIPATION AND ANIMAL HEALTH MANAGEMENT OF SMALLHOLDER LIVESTOCK PRODUCERS IN ZAMBIA April 2nd 2008 Presentation to Stakeholders.
MEASURING FOOD LOSSES Session 2: Measuring grain losses on a farm.
MEASURING FOOD LOSSES Session 5:
LIVESTOCK PRODUCTION AND PRODUCTIVITY
MEASURING FOOD LOSSES Session 6: Loss assessment through modelling.
Training course to enhance collection of fisheries and aquaculture statistics Module 5 – Obtaining SSF and aquaculture statistics through a household.
MEASURING FOOD LOSSES Session 4: Sampling design.
Following are the steps of farming
Time and stage of harvest and harvesting techniques for rice
CHAPTER 2 Logistics system.
Harvesting and Threshing of Paddy
Training course to enhance collection of fisheries and aquaculture statistics Module 5 – Obtaining SSF and aquaculture statistics through a household.
Njonjo Mary W., Muthomi J, Mwang’ombe A,
Vivien L. delos Santos DA RFO No. 02 Tuguegarao City March 11, 2013
Concepts and Definitions Used in Area Sampling Frame
Methods of Associating Segments with Reporting Units
What are food miles? Food miles are the measure of the distance a food travels from field to plate.
Basic Sampling Concepts
System Agronomist and Impact Assessment Specialist
Sampling: How to Select a Few to Represent the Many
The African Postharvest Losses Information System
Presentation transcript:

MEASURING FOOD LOSSES Session 4: Sampling design

Objectives of the presentation Provide guidance on the sampling approach to better assess PHL Present the different issues related to the sampling strategy

Outline Introduction Sampling approach at farm-gate level Sampling approach off-farm

Introduction Important step when designing a survey for: Representativity Extrapolation of the result at national, regional etc. wide All the units, at any stage of selection, should be selected using a random procedure At farm-gate level Selection of the holding Selection of the fields and plots Identification of the crops, operations and channels Selection procedures to take grain at the storage

Sampling approach at farm-gate level 1 Sampling approach at farm-gate level

1.1. Sampling approach at farm-gate level: Selection of the holding Goals: a representative sample of holdings growing the respective crops Example: Selection of PSUs A list of PSUs to be prepared A sample of PSUs is prepared with equal probability selection or proportional to size (number of farmers, crop areas etc.) Selection of SSUs A list of all SSUs in the selected PSUs will be prepared A sample of SSUs (villages etc.) will be selected randomly from the list Selection of TSUs: Enumeration of each SSU selected List of farming households growing or expected to grow the identified crop Could also stratify farming households into categories

1.2. Sampling approach at farm-gate level: Selection of fields and plots A list of all fields of the selected farmers for each crop grown One field for a particular crop selected will be selected randomly Two plots (for example 5 x 5 m, depending on the crop) will be placed for physical measurement A sample of PSUs is prepared with equal probability selection or proportional to size (number of farmers, crop areas etc.)

1.2. Sampling approach at farm-gate level: Selection of fields and plots Random placement of a sub-plot in a field Location of the field, identification and numbering of all its points or vertices Measurement of the length of each side, ideally using an adapted GPS device/ Computation of the perimeter, area and half-perimeter of the field Selection of a random number between 1 and the number of sides of the fields. This first random number will determine the vertex (point) and side from which the enumerator will go inside the field Selection of a second random number between 1 and the half-perimeter of the field to determine how far, perpendicularly from the side, the enumerator will go into the field. He will mark the point reached in the field with a peg. This will be the first point of the sub-plot The sub-plot can be selected

1.2. Sampling approach at farm-gate level: Selection of fields and plots

1.3. Sampling approach at farm-gate level: Identification of the crops, operations and channels The first choice to make often concern the set of commodities to be covered Different units can be sampled depending on the activity, operations and points of the supply chain targeted for the assessment The choice of activities, operations or points of the supply chain to cover in a sample survey is function of the objective of the assessment

Coverage of the activity 1.3. Sampling approach at farm-gate level: Identification of the crops, operations and channels Activity/Channel Coverage of the activity Unit Observation Harvesting Cutting of standing crop Plots, fields, parcels Collection Stacking, bundling and transportation up to the threshing floor Stacks, heaps, bundles, etc. Threshing Separation of grain from crop manually or using thresher and collection of straw and grain Bundles, heaps, stacks, etc. Winnowing/cleaning Collection of threshed material, winnowing to remove chaff, dust, etc. Bags, specific containers, etc. Drying Collection of material after cleaning, spreading for drying, heaping after drying Bags, boxes, specific containers, etc. Packaging Collection after winnowing/cleaning/drying/sorting/grading/threshing, filling in bags/baskets/other packaging material Bags, baskets, packaging material Transportation Loading of packed material in threshing yard, transportation to store of farmer, unloading for storage, transportation from threshing yard to market yard, unloading at market yard Trucks, bags, boxes, etc. Storage at farm level During storage, cleaning/grading, before sending to market for sale or own consumption Bags, baskets, boxes, granaries, etc. Storage at warehouse Unloading, during storage, loading for further sale/disposal Bags, drums, boxes, etc. Storage at wholesale level Storage at retail level Unloading and loading, during storage, sorting/grading for sale Bags, drums, boxes, Storage at millers/processors level Unloading material for storage during storage

1.4. Sampling approach at farm-gate level: selection of grains at storage The same sample of farmers (as drawn for data collection at farm level) will be taken for data collection on storage losses The grains/cobs should be selected at different place at the storage facility If the storage has more than one units (for examples bags), one, two or three bags (depending on the number of bags) will be selected randomly For example if the type of storage is a bag, the selection should be done on the top, the middle and the bottom of the bag

Sampling approach off-farm 2 Sampling approach off-farm

2.1. Sampling approach off-farm: Wholesalers The list of wholesale market yards at the PSUs headquarters (capital) will be prepared One market will be selected randomly All the wholesalers in the market will be enumerated A sample of wholesalers for each crop/commodity will be randomly selected The strategy to select the bags, grains etc. is the same than the one at storage

2.2. Sampling approach off-farm: Retailers A list of main retail markets at the PSUs headquarters including fruits and vegetables will be prepared One or more (depending on resources available and desired precision level) markets randomly selected and enumerated A number of retailers will be randomly selected in each selected market The strategy to select the bags, grains etc. is the same than the one at storage

2.3. Sampling approach off-farm: Milling/processing units A list of processing units related to the crops/commodities at the PSUs headquarters including fruits and vegetables will be prepared Selection is then done In case some of them are not available in the PSUs, units located in neighboring PSUs will be taken

Conclusion This presentation covered the main sampling approaches for different types of units The definition of the units being observed is really important and should be the first subject of discussion between the expert The sample size depends on the financial and human resources

Conclusion Required sample size to achieve a given degree of precision   Range of expected weight losses (%) (difference in % between highest and lowest) 100% 80% 60% 50% 40% 30% 20% 10% 5 % Desired Precision ±1% 5 625 3 600 2 025 1406 900 506 225 54 14 ±2% 1 406 507 351 126 57 4 ±5% 144 81 56 36 20 9 2 … ±10% 21 5 3 Source: Harris and Lindblad, 1978

Thank You