A Chain of Linked Nuances

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It seems relatively simple: All of the food we eat originates on the “farm” as produce or animal, then flows downstream through a watercourse of channels to arrive on the consumer’s plate. Unfortunately the food supply chain is not quite that simple, nor is it always a forward flow. In fact, it can be argued that the supply chain is actually driven backward, with the demands and expectations of the consumer creating ripples that impact each link of the chain – from retail (grocery, restaurant, or farmers’ market) back through distribution, manufacturing, and packing/co-packing, to the farm. And when a customer complaint or positive test result necessitates tracing back to the source and forward for recall and communication, the unique nuances and challenges, the stressors and strains, of traceability at each link – and the potential results of breaks in the chain – are found to create a rather complex torrent of channels that defy the perceptively easy flow of “downstream.” Thus, while the flow of the food supply system is often referred to as upstream and downstream, seeing it as a series of links in a chain is, in fact, a better representation: each link is a separate entity but each must seamlessly interconnect with the link to each of its sides for the system to be successful as a whole. This chapter follows that chain (from the consumer backward) to discuss each link and linkage, and the nuances and challenges that are created by the riptides of back-flowing expectations and forward-flowing product/ingredient identification.

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Yield sensing technologies for perennial and annual horticultural crops: a review
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Yield maps provide a detailed account of crop production and potential revenue of a farm. This level of details enables a range of possibilities from improving input management, conducting on-farm experimentation, or generating profitability map, thus creating value for farmers. While this technology is widely available for field crops such as maize, soybean and grain, few yield sensing systems exist for horticultural crops such as berries, field vegetable or orchards. Nevertheless, a wide range of techniques and technologies have been investigated as potential means of sensing crop yield for horticultural crops. This paper reviews yield monitoring approaches that can be divided into proximal, either direct or indirect, and remote measurement principles. It reviews remote sensing as a way to estimate and forecast yield prior to harvest. For each approach, basic principles are explained as well as examples of application in horticultural crops and success rate. The different approaches provide whether a deterministic (direct measurement of weight for instance) or an empirical (capacitance measurements correlated to weight for instance) result, which may impact transferability. The discussion also covers the level of precision required for different tasks and the trend and future perspectives. This review demonstrated the need for more commercial solutions to map yield of horticultural crops. It also showed that several approaches have demonstrated high success rate and that combining technologies may be the best way to provide enough accuracy and robustness for future commercial systems.

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