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Ways to measure food loss

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We know there’s a need to improve how we measure food loss but to understand the full story, the numbers need context. There’s value in using both empirical and perceptual approaches. This Step explains measuring food loss at the farm or plot level. You’ll look at ways of aggregating data at the local, regional and national level later in the course.

Methods

In Step 1.6 we briefly considered at a range of methods to estimate and measure food loss. Let’s look at different empirical and perceptual approaches in more detail.

Perceptual

This approach is characterised by being interpretation-based and descriptive and helps us to ask ‘why’ and ‘how’. It provides insight into the perceptions, estimations, and subjective experiences of respondents.

Table of methods and description. Questionnaire - ask key people a standard set of questions often with a choice of answers. Interviews - talk to key people to understand their thoughts and experiences. Diaries - Individuals or groups keep a regular record or log of food loss information

Figure 1: Description of perceptual methods. ©University of Reading.

Empirical

This approach is numbers-based, countable and measurable which helps us ask ‘how much’, ‘how many’ and ‘how often’. It provides greater understanding of the scale and magnitude of food loss in a controlled and accurate way.

Table of methods and description. Direct measurements - Count, weigh or measure food loss as it happens. Usually measured as a mass (e.g. kilograms of grain) but could also be a volumetric measurement (e.g. cubic metres of milk) Mass balance - Calculate the difference in weight between the start and end of a stage or activity. For example, the difference between the weight of grain before and after it is loaded onto a truck tells us how much is spilled or otherwise lost during the loading process. Coefficients and production statistics - Use previously established ‘standard values’ to estimate food loss associated with a particular commodity and/or producer. Material composition analysis - Physically separate food loss from other streams to determine the weight and/or percentage of the loss.

Figure 2: Description of empirical methods. ©University of Reading.

Process

Look at the flow chart below. The boxes show the key steps in the food loss measurement process. The text highlights the importance of combining perceptual and empirical methods. The selected approach will ultimately be determined by a variety of practical factors including crop characteristics, accessibility, cost and time.

Flow chart of food measurement process from top to bottom. Gather information - Conduct farmer interviews or questionnaires to understand the context. Develop a sampling strategy - Develop a practical sampling approach. Factors to consider include commodity type, crop size, number of crop cuts per year, sample size (% of total crop), sample frame size (in m2), proportion of the crop sampled, cost and time​. Quantify loss - Take direct measurements at the pre-harvest and/or harvest stage. If two measurements are taken (it is not always practicable), they are typically done very close together around the point of harvest. It is also important to record contextual information, such as the cause of loss and what proportion of the loss is edible but non-marketable vs. inedible​. Analyse results - Calculate plot-level loss based on sample data. With sufficient data, it is also possible to extrapolate food loss of a particular crop or product at a territorial level​

Figure 3: Flow chart of food loss measurement process. ©University of Reading. Click to expand diagram.

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Understanding Food Loss

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