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#News(AgriTech) [ via IoTForIndiaGroup ]
Every time we grow a crop, the interaction of genetics, management and environment (G x E x M) result in a unique outcome. This inherent variability of agricultural production systems has been a fascinating challenge motivating farmers, agronomists and researchers to identify consistent responses that can lead to more effective decision making. We know that we can leverage information from a network of farms and from different regions, but it is not always clear how this should be done. In addition, environmental and growing season data are critically important but it is not always used to its full potential. A possible avenue to answer questions regarding cropping system performance is through analyses of data generated from on-farm research networks (OFRNs). Much effort typically goes into planning and executing these trials with less emphasis on delivering this information to different users in a way that can result in better recommendations. This can be done by developing data-driven decision support tools.
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