Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System-Reference-Cited by-同舟云学术

Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System

Published:2017-08-08 Issue:8 Volume:7 Page:69
ISSN:2077-0472
Container-title:Agriculture
language:en
Short-container-title:Agriculture

Author:

Jarvis Daniel,Wachowiak Mark,Walters Dan,Kovacs John^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Link

http://www.mdpi.com/2077-0472/7/8/69/pdf

Reference38 articles.

1. IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology

2. Effectiveness of decision support systems: development or reliance effect?

3. A DSS for planning of soil-sensitive field operations

4. Real-time image processing for crop/weed discrimination in maize fields

5. A Decision Support System to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach

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