AIMC Topic: Agriculture

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Multi-Target Deep Learning for Algal Detection and Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive to changes in their habitats, giving valuable knowledge on variations i...
Agriculture Plants Microscopy Water Quality Deep Learning
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Forecasting beef production and quality using large-scale integrated data from Brazil.

Journal of animal science Apr 1, 2020
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...
Cattle Agriculture Linear Models Climate Male Brazil Farms Machine Learning Soil Red Meat Phenotype Animals Commerce Female
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BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture.

Journal of animal science Apr 14, 2018
Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the u...
Agriculture Data Mining Machine Learning Animals Livestock
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The case for technology investments in the environment.

Nature Dec 21, 2017
Algorithms Technology Reproducibility of Results Animals Artificial Intelligence Fisheries Software Humans Organizations Earth, Planet Conservation of Natural Resources Neural Networks, Computer Global Warming Spatio-Temporal Analysis Water Supply Forestry Agriculture Environment Biodiversity Investments
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Train artificial intelligence to be fair to farming.

Nature Dec 21, 2017
Intelligence Humans Artificial Intelligence Agriculture
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agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update.

Nucleic acids research Jul 3, 2017
The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate th...
Vegetables Crops, Agricultural Molecular Sequence Annotation Gene Ontology Arabidopsis Internet Fishes Insecta Animals Birds Agriculture Software
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Technology: The Future of Agriculture.

Nature Apr 26, 2017
Time Factors Mobile Applications Agriculture Plant Weeds Remote Sensing Technology Monitoring, Physiologic Robotics Animals Livestock Animal Husbandry Abattoirs Animal Diseases Pesticides Clinical Alarms Fruit Agrochemicals Machine Learning Plant Diseases Technology Transfer Quality Control Soil Depth Perception Automation Vegetables Crop Production Lasers
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[Application of land economic ecological niche in landscape pattern analysis at county level: A case study of Jinghe County in Xinjiang, China].

Ying yong sheng tai xue bao = The journal of applied ecology Dec 1, 2015
The theory of land economic ecological niche was used to analyze the regional landscape pattern in this article, with an aim to provide a new method for the characterization and representation of landscape pattern. The Jinghe County region, which is ...
Agriculture Ecosystem Grassland China Ecology Conservation of Natural Resources
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Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation Feb 1, 2015
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...
Forestry Neural Networks, Computer Prognosis Agriculture Water Quality Rivers Models, Theoretical Conservation of Natural Resources Environmental Monitoring City Planning Malaysia
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[Non-destructive detection research for hollow heart of potato based on semi-transmission hyperspectral imaging and SVM].

Guang pu xue yu guang pu fen xi = Guang pu Jan 1, 2015
The quality of potato is directly related to their edible value and industrial value. Hollow heart of potato, as a physiological disease occurred inside the tuber, is difficult to be detected. This paper put forward a non-destructive detection method...
Spectrum Analysis Agriculture Support Vector Machine Models, Theoretical Algorithms Plant Diseases Solanum tuberosum
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