Researchers at the National Physical Laboratory (NPL) in Teddington have developed imaging technology to be used in an intelligent harvesting machine that could minimise wastage and solve an impending labour shortage for UK farmers.
Annual waste for certain crops can be up to 60% - which can mean up to 100,000 of lost revenue for an average farm every year, according to farmers who were consulted during research. Falling number of migrant labourers means that healthy crops cannot be gathered and so farms are losing crops due to harvesting at the wrong time.
NPL 's scientists are working with KMS projects and Vegetable Harvesting Systems (VHS) to turn the technology into an intelligent harvesting machine, which can look beneath the leafy layers of a crop, identify the differing materials, and enable precise size identification. This can be used to develop a fully automated harvesting robot, which would be able to fill the gap left by the labour shortage.
The most appropriate technologies to use are radio frequencies, microwaves, terahertz and the far-infra red. These four parts of the electromagnetic spectrum all have potential to safely penetrate the crop layers and identify the size of the harvestable material for a relatively low cost. NPL has developed a methodology for crop identification and selection focusing on cauliflower crops, one of the hardest crops to measure due to the large amount of leafage that covers the vegetable.
The researchers at NPL began by modifying microwave measurement systems to measure a cauliflowers structure. A series of measurements made on real crops in the laboratory and field enabled a statistical range of measurements for precise size identification. This data is then designed into an algorithm to enable a simple size indication from a raw measurement with uncertainties. The final technology will be developed for a first generation harvester and tested in a real farming environment.
|Contact: David Lewis|
National Physical Laboratory