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Solución basada en drones para predecir con exactitud la productividad de las cosechas de árboles frutales, como manzanos

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOUK20190919001
Publicado:
23/09/2019
Caducidad:
23/09/2020
Resumen:
Una pequeña empresa británica está validando una solución económica basada en drones para predecir con exactitud la productividad de las cosechas de fruta, desde la floración hasta la recolección. La plataforma utiliza sistemas de drones económicos para inspeccionar cultivos de árboles frutales y estimar la productividad con semanas o meses de antelación. Los agricultores pueden hacer un seguimiento de la productividad durante toda la estación, desde la floración hasta la recolección de la fruta, con datos cotejados a nivel de huerta y a nivel del árbol frutal individual. Los datos permiten al agricultor planificar las campañas de recolección, utilizar los recursos agrícolas de forma eficiente y organizar contratos con total confianza. La empresa busca productores de fruta, especialmente de manzana, con el fin de establecer acuerdos de cooperación y comercialización con asistencia técnica.

Details

Tittle:
A drone based solution to accurately predict the crop yields of fruits like apples
Summary:
A small UK company is validating an economical drone-based solution to accurately predict orchard fruit yields, from blossom to harvest. Fruit growers, especially apple growers, are sought for technical cooperation and commercial agreements with technical assistance.
Description:
Unmanned vehicles have been around for years that monitor fields and assist with farm or crop management. Still, it´s a growing area with lots of niches where the demand hasn´t been met. One example is the prediction of fruit crop yields. Recently, some terrestrial vehicles have been offered with the added software to monitor fruits in orchards but they are relatively slow and expensive still.
Especially in the business of Class 1 apples, predicting the yields is a valuable prospect. The current accepted rate is missing actual output by 15% either way. This error translates into unfulfilled contracts, or food waste. Ideally, an early prediction would allow for planning of surplus or lack of tonnage.
A UK start-up has developed a yield measurement and crop management platform for high value top fruit crops. The platform uses inexpensive drone systems to quickly survey orchard crops and estimate yields, weeks or months ahead of harvest. Growers can track yield estimates throughout the growing season, from blossom to fruit with crop data collated at the orchard level and the individual tree level (see the Picture). This data lets growers plan harvest campaigns, deploy farm resources ef¿ciently and arrange contracts with con¿dence. The system is being developed on 5 commercial apple farms in the UK, and tests on several farms in South Africa are scheduled for Q3 2019.
The company is seeking growers in Europe and overseas to customise the system further under technical cooperation, as well as offering an early version of the solution to apple growers under commercial agreements with technical assistance.
Advantages and Innovations:
Such solutions haven´t existed on the market yet. The company´s expertise in horticulture, multispectral imaging and web technology have resulted in this plant-level analysis. The expertise builds on exclusive partnerships with research organisations.
Stage of Development:
Field tested/evaluated
IPs:
Secret Know-how,Copyright

Partner sought

Type and Role of Partner Sought:
Type of partner sought: industry
Specific activity of partner sought: horticulture, fruit growers
Role of partner sought: to adopt the new technology under guidance from the UK company and provide input for further customisation.

Client

Type and Size of Client:
Industry SME <= 10
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English

Keywords

Technology Keywords:
01003012 Imaging, Image Processing, Pattern Recognition