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Calishat<p><a href="https://researchbuzz.masto.host/tags/agriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agriculture</span></a> <a href="https://researchbuzz.masto.host/tags/CommercialAgriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CommercialAgriculture</span></a> <a href="https://researchbuzz.masto.host/tags/botany" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>botany</span></a> <a href="https://researchbuzz.masto.host/tags/genetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genetics</span></a> <a href="https://researchbuzz.masto.host/tags/coffee" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>coffee</span></a></p><p>'World Coffee Research (WCR) has announced the release of an Arabica coffee genetic fingerprint database that will make variety authentication cheaper and simpler.... WCR is making the database openly accessible to the scientific community so that it can be used by public and private labs for variety verification.'</p><p><a href="https://www.gcrmag.com/wcr-releases-arabica-generic-fingerprint-database/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">gcrmag.com/wcr-releases-arabic</span><span class="invisible">a-generic-fingerprint-database/</span></a></p>
Calishat<p><a href="https://researchbuzz.masto.host/tags/EU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EU</span></a> <a href="https://researchbuzz.masto.host/tags/Europe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Europe</span></a> <a href="https://researchbuzz.masto.host/tags/agriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agriculture</span></a> <a href="https://researchbuzz.masto.host/tags/CommercialAgriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CommercialAgriculture</span></a> <a href="https://researchbuzz.masto.host/tags/soil" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>soil</span></a> <a href="https://researchbuzz.masto.host/tags/SoilScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SoilScience</span></a> <a href="https://researchbuzz.masto.host/tags/DataDashboards" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataDashboards</span></a> </p><p>'EU-wide harmonised soil datasets and a novel methodology are among the main features of the soil health dashboard, a new tool of the EU Soil Observatory (EUSO), developed and run by the JRC.'</p><p><a href="https://joint-research-centre.ec.europa.eu/jrc-news/new-tool-maps-state-soil-health-across-europe-2023-03-13_en" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">joint-research-centre.ec.europ</span><span class="invisible">a.eu/jrc-news/new-tool-maps-state-soil-health-across-europe-2023-03-13_en</span></a></p>
Calishat<p><a href="https://researchbuzz.masto.host/tags/agriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agriculture</span></a> <a href="https://researchbuzz.masto.host/tags/CommercialAgriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CommercialAgriculture</span></a> <a href="https://researchbuzz.masto.host/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://researchbuzz.masto.host/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://researchbuzz.masto.host/tags/photography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>photography</span></a> <a href="https://researchbuzz.masto.host/tags/CropScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CropScience</span></a> </p><p>'[Aerial imagery] Images are typically obtained with an expensive multispectral camera attached to a drone. But a new study from the University of Illinois and Mississippi State University (MSU) shows that pictures from a standard red-green-blue (RGB) camera combined with AI deep learning can provide equivalent crop prediction tools for a fraction of the cost.'</p><p><a href="https://aces.illinois.edu/news/using-standard-rgb-camera-and-ai-obtain-vegetation-data" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">aces.illinois.edu/news/using-s</span><span class="invisible">tandard-rgb-camera-and-ai-obtain-vegetation-data</span></a></p>