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dc.contributor.editorBell, Matt J.
dc.date.accessioned2022-03-21T16:31:37Z
dc.date.available2022-03-21T16:31:37Z
dc.date.issued2022
dc.identifierONIX_20220321_9783036533551_118
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/79682
dc.description.abstractNew information and knowledge are important aspects of innovation in modern farming systems. There is currently an abundance of digital and data-driven solutions that can potentially transform our food systems. At a time when the general public has concerns about how food is produced and the impact of farm production systems on the environment, strategies to increase public acceptance and the sustainability of food production are required more than ever. New tools and technology can provide timely insights into aspects such as nutrient profiles, the tracking of animal or plant wellbeing, and land-use options to enhance inputs and outputs associated with the farm business. Such solutions have the ultimate aim of enhancing production efficiency and contributing to the process of learning about the advantages of the innovation, while ensuring more sustainable food supplies. At the farm level, any new information needs to be in a useful format and beneficial for management and farm decision-making. The papers in this Special Issue evaluate agri-business innovation that can enhance farm-level decision-making.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processesen_US
dc.subject.otherdairy cows
dc.subject.othercomputer vision
dc.subject.otherbehaviors
dc.subject.othermonitoring
dc.subject.othermanagement
dc.subject.otherbehavior
dc.subject.otherbirth
dc.subject.otherobservations
dc.subject.othersheep
dc.subject.otherproximal
dc.subject.othersensing
dc.subject.otherLiDAR
dc.subject.otherphotogrammetry
dc.subject.othergrasslands
dc.subject.otherpastures
dc.subject.otherAdversarial-VAE
dc.subject.othertomato leaf disease identification
dc.subject.otherimage generation
dc.subject.otherconvolutional neural network
dc.subject.otherpotato management
dc.subject.othertuber formation stage
dc.subject.otherprecipitation patterns
dc.titleEnhancing Farm-Level Decision Making through Innovation
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-3356-8
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036533551
oapen.relation.isbn9783036533568
oapen.pages84
oapen.place.publicationBasel


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