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pro vyhledávání: '"Paul Hegedus"'
Publikováno v:
Precision Agriculture. 24:677-704
Data-driven decision making in agriculture can be augmented by utilizing the data gathered from precision agriculture technologies to make the most informed decisions that consider spatiotemporal specificity. Decision support systems utilize underlyi
Autor:
Paul Hegedus, Bruce Maxwell, John Sheppard, Sasha Loewen, Hannah Duff, Giorgio Morales-Luna, Amy Peerlinck
Precision agriculture and open-source data repositories provide a plethora of field-specific ecological data about agroecosystems, but few mechanisms have been developed to turn that information into management recommendations for crop production. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d4118566532b1f1321b91c9577b055a
Publikováno v:
Sensors; Volume 23; Issue 1; Pages: 489
In recent years, the use of remotely sensed and on-ground observations of crop fields, in conjunction with machine learning techniques, has led to highly accurate crop yield estimations. In this work, we propose to further improve the yield predictio
Publikováno v:
Sustainability, Vol 14, Iss 106, p 106 (2022)
In response to global calls for sustainable food production, we identify two diverging paradigms to address the future of agriculture. We explore the possibility of uniting these two seemingly diverging paradigms of production-oriented and ecological