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Abstract
Soil sampling is an important tool to gather information for making proper decisions regarding the fertilization of fields. Depending on the national regulations, the minimum frequency may be once per five years and spatially every ten hectares. For precision farming purposes, this is not sufficient. In precision farming, the challenge is to collect the samples from such regions that are internally consistent while limiting the number of samples required. For this purpose, management zones are used to divide the field into smaller regions. This article presents a novel approach to automatically determine the locations for soil samples based on a soil map created from drone imaging after ploughing, and a wearable augmented reality technology to guide the user to the generated sample points. Finally, the article presents the results of a demonstration carried out in southern Finland.
Original language | English |
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Pages (from-to) | 25-35 |
Number of pages | 11 |
Journal | Computers and Electronics in Agriculture |
Volume | 154 |
DOIs | |
Publication status | Published - 1 Nov 2018 |
MoE publication type | A1 Journal article-refereed |
Keywords
- AR
- Mixed reality
- Precision farming
- RPAS
- Soil analysis
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Dive into the research topics of 'Soil sampling with drones and augmented reality in precision agriculture'. Together they form a unique fingerprint.Projects
- 1 Finished
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HAUGE: Hybrid autonomous and augmented agricultural tools (HAUGE)
Oksanen, T. (Principal investigator)
01/01/2017 → 31/12/2018
Project: Academy of Finland: Other research funding