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Holthaus, D
Hyrien, M
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Authors
Romier, C
Hyrien, M
Lamker, D
Spiesman, B
Grijalva, I
Holthaus, D
McCornack, B
Topics
Education and Training in Precision Agriculture
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2012
2024
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Filter results2 paper(s) found.

1. A New Approach to Yield Map Creation

    One of the barriers to using yield maps as a data layer in precision agriculture activities is that the maps being generated to day are not very accurate in representing what really happened in field.  Numerous data errors in the way the data is collected, poor calibration habits on the part of operators... C. Romier, M. Hyrien, D. Lamker

2. Sampling Bumble Bees and Floral Resources Using Deep Learning and UAV Imagery

Pollinators, essential components of natural and agricultural systems, forage over relatively large spatial scales. This is especially true of large generalist species, like bumble bees. Thus, it can be difficult to estimate the amount and diversity of floral resources available to them. Floral cover and diversity are often estimated over large areas by extrapolation from small scale samples (e.g., a 1-m quadrat) but the accuracy of such estimates can vary depending on the spatial patchiness of... B. Spiesman, I. Grijalva, D. Holthaus, B. Mccornack