Forecasting Pesticide Use on Golf Courses by Integration of Deep Learning and Decision Tree Techniques

Forecasting Pesticide Use on Golf Courses by Integration of Deep Learning and Decision Tree Techniques

In the current study, a new hybrid machine learning (ML)-based model was developed by integrating a convolution neural network (CNN) with a random forest (RF) to forecast pesticide use on golf courses in Québec, Canada. Three main groups of independent variables were used to estimate pesticide use o...

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Bibliographic Details
Main Authors: Guillaume Grégoire, Josée Fortin, Isa Ebtehaj, Hossein Bonakdari
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Agriculture
Subjects:
actual active ingredient rate (AAIR)
convolution neural network (CNN)
golf courses
hybrid model
random forest (RF)
meteorological variables
Online Access:https://www.mdpi.com/2077-0472/13/6/1163

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