Identifying the Most Relevant Issues to Minimize an Automated Irrigation Water Supply in Vineyards Using Data Mining

doi 10.2495/eco110311
Full Text
Abstract

Available in full text

Date
Authors
Publisher

WIT Press

Related search

Water Productivity ofOriganum Syriacumunder Different Irrigation and Nitrogen Treatments Using an Automated Irrigation System

2015English

Toward Multidatabase Mining: Identifying Relevant Databases

IEEE Transactions on Knowledge and Data Engineering
Computational TheoryComputer Science ApplicationsInformation SystemsMathematics
2001English

Automated Design for Manufacturing and Supply Chain Using Geometric Data Mining and Machine Learning

English

A Framework of an Automated Data Mining Systems Using ERP Model

International Journal of Computer and Electrical Engineering
2009English

Strategic Irrigation Management in Australian Vineyards

Oeno One
HorticultureFood Science
2001English

Identifying Seriousness of Car Accidents Using Data Mining in Jordanian Roads

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2020English

An Automated Approach to Identifying Patients With Dementia Using Electronic Medical Records

Journal of the American Geriatrics Society
GerontologyGeriatrics
2017English

Preparing Data Sets for the Data Mining Analysis Using the Most Efficient Horizontal Aggregation Method in SQL

International Journal of Computer Applications
2014English

Economic Effects of an Exhaustible Irrigation Water Supply: Texas High Plains

Journal of Agricultural & Applied Economics
AgriculturalEconomicsEconometricsBiological Sciences
1973English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy