Artificial intelligence in seeding density optimization and yield simulation for oat
نویسندگان
چکیده
منابع مشابه
Projective simulation for artificial intelligence
We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation is based on a random walk through a network of clips, which are elementary patches of episodic memory. The network of clips changes dynamically, both due to n...
متن کاملsimulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
Artificial Intelligence in Modeling and Simulation
Glossary Behavior The observable manifestation of an interaction with a system DEVS Discrete Event System Specification formalism describes models developed for simulation; applications include simulation based testing of collaborative services Endomorphic Agents Agents that contain models of themselves and/or of other endomorphic Agents. Levels of Interoperability Levels at which systems can i...
متن کاملImpact of Rice Nursery Nutrient Management, Seeding Density and Seedling Age on Yield and Yield Attributes
To help farmers in the mid hills of Nepal improve their crop management and rice yields, we conducted a study testing different nursery management options and their effect on grain yield and yield components under rainfed conditions. The experiment was conducted in a farmer’s field during the cropping season 2009 and 2010 at Sundarbazar, Lamjung, Nepal, using a 3-factor factorial RCB design wit...
متن کاملArtificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Revista Brasileira de Engenharia Agrícola e Ambiental
سال: 2018
ISSN: 1807-1929,1415-4366
DOI: 10.1590/1807-1929/agriambi.v22n3p183-188