How does European adoption of precision agriculture compare to worldwide trends?

In: Precision agriculture '19
Authors:
J. Lowenberg-DeBoer Harper Adams University, Newport, Shropshire, UK TF10 8NB, United Kingdom.

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and
B. Erickson Purdue University, West Lafayette, Indiana 47907, USA.

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Type:
Chapter
Pages:
859–866
DOI:
https://doi.org/10.3920/978-90-8686-888-9_106

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European politicians sometimes complain that farmers are lagging on precision agriculture (PA) adoption. The objective of this study was to compare European PA adoption with other industrialised countries in existing studies that used a variety of methodologies. The data showed that global navigation satellite systems (GNSS) guidance is being adopted by mechanised farms worldwide. In Europe, guidance adoption is slightly lower than in the Americas and Australia probably because of smaller farms and the prevalence of horticultural and grazing-based livestock farms. In contrast, variable rate technology (VRT) fertiliser adoption is lagging almost everywhere, but in parts of Europe this is at the upper end of the worldwide range.

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Cover Precision agriculture '19
E-Book ISBN:
9789086868889
Publisher:
Wageningen Academic
Print Publication Date:
08 Jul 2019
Front Matter
Section 1 – Precision agriculture
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Section 2 – Precision horticulture
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Section 3 – Precision viticulture
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Section 4 – Precision crop protection
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Section 5 – Proximal and remote sensing of soil and crop
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Section 6 – Applications of unmanned aerial systems
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Section 7 – Satellite-based applications for precision agriculture
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Section 8 – Site-specific nutrient, lime and seed management
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Section 9 – Site-specific canopy and harvest quality
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Section 10 – Precision pasture management
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Section 11 – Drainage optimization and variable rate irrigation
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Section 12 – Geostatistics, mapping and spatial data analysis
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Section 13 – Robotics, guidance and automation
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Section 14 – Economics of precision agriculture
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Section 15 – Adoption of precision agriculture
Section 16 – Small farms/small holders and precision agriculture
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Section 17 – On farm experimentation with site-specific technologies
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Section 18 – Software and mobile apps for precision agriculture
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Section 19 – Decision support for precision agriculture
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Section 20 – Data mining for precision agriculture
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Back Matter

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