Results 41 to 50 of about 3,534,362 (332)
EDIS, 2003 This document is AN142, one of a series of the Animal Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date April 29, 2003.
John D. Arthington
doaj +2 more sources
Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS [PDF]
arXiv, 2021 Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machine learning models for the prediction of food production. The adaptive network-based fuzzy inference system (ANFIS) and multilayer perceptron (MLP) methods are used to advance
arxiv
Multi‐Scaled Cellulosic Nanonetworks from Tunicates
Advanced Functional Materials, EarlyView.Microbial and plant nanonetworks of cellulose have enabled a wide range of high‐performance yet sustainable materials. Herein, a third class of cellulosic nanonetworks is showcased by exploiting the only animal tissue‐producing cellulose nanofibers, i.e., ascidians. An ultrastructure including spherical cells and a microvasculature with diameters of 50–
Mano Govindharaj +10 more
wiley +1 more source
Digital Science Recommendations for Food and Agriculture
, 2020 This document serves as a white paper, which describes the AGINFRA PLUS vision of a next-generation community driven web-based research infrastructure, as well as present and future application scenarios that can be envisaged from experiences with the piloted AGINFRA PLUS user communities and provides recommendations that aim to inform the roadmap for ...
openaire +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges [PDF]
arXiv, 2020 Digital agriculture has the promise to transform agricultural throughput. It can do this by applying data science and engineering for mapping input factors to crop throughput, while bounding the available resources. In addition, as the data volumes and varieties increase with the increase in sensor deployment in agricultural fields, data engineering ...
arxiv
IFoodCloud: A Platform for Real-time Sentiment Analysis of Public Opinion about Food Safety in China [PDF]
arXiv, 2021 The Internet contains a wealth of public opinion on food safety, including views on food adulteration, food-borne diseases, agricultural pollution, irregular food distribution, and food production issues. In order to systematically collect and analyse public opinion on food safety, we developed IFoodCloud, a platform for the real-time sentiment ...
arxiv
Attitudes of students at College of Food and Agricultural Sciences toward agriculture
Journal of the Saudi Society of Agricultural Sciences, 2013 AbstractThe primary purpose of the study was to determine the attitudes of students at the College of Agriculture toward agriculture programs and the field of agriculture in an effort to better identify, recruit, and retain students in the College of Agriculture.
openaire +2 more sources
Recent Application of Probiotics in Food and Agricultural Science
, 2012 Probiotic foods are a group of functional foods with growing market shares and large commercial interest [1]. Probiotics are live microorganisms which when administered in adequate amounts confer a beneficial health benefit on the host [2]. Probiotics have been used for centuries in fermented dairy products.
Salam A. Ibrahim +2 more
openaire +4 more sources
Advanced Functional Materials, EarlyView.In this article, Hojin Kim, Sayan Deb Dutta, and co‐workers report a shape‐reconfigurable, 3D printable, and highly adhesive slime‐like ‘electronic skin’ or ‘E‐skin’ patch for human health sensing and tissue engineering applications. The dual reinforcement of hydrogel patch with carbon nanotubes (CNTs) and cellulose nanocrystals (CNCs) improve the ...
Hojin Kim +6 more
wiley +1 more source