crop data Articles
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A machine learning approach to crop localisation using spatial information
This paper describes an approach to recognise and localise centres of mature lettuce heads in the field when the lettuce leaves obscure the distinctions between plants. This is of great value when using an automatic harvester in cluttered or closely planted vegetation. The aim of this work is to investigate and verify the potential use of spatial rather than visual clues for recognition and ...
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How to get seed rates spot on for target market and harvest scheduling
Potato agronomy is complex and requires a lot of planning, monitoring and evaluation throughout the production process. CPM finds out how digital agronomy tool Crop4Sight can help in all three areas as preparation for the 2023 season gathers paceIf you fail to prepare, you prepare to fail – an adage that is very relevant when thinking about potato crop establishment, with half the agronomy done ...
By Crop4Sight
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