Analysis of Predictions of Garlic Bulb Weight using LASSO Regression Model
Author:
Affiliation:
1. Center for Agricultural Outlook, Korea Rural Economic Institute, Naju 58321, Korea
2. Department of Food and Resource Economics, Pusan National University, Miryang 50463, Korea
Publisher
Korean Society of Horticultural Science
Subject
Horticulture,Horticulture
Link
https://www.hst-j.org/articles/pdf/doi/10.7235/HORT.20230040.pdf
Reference20 articles.
1. Variation in Morphological and Quality Parameters in Garlic (Allium sativum L.) Bulb Influenced by Different Photoperiod, Temperature, Sowing and Harvesting Time
2. Introductory Econometrics
3. Estimation of Garlic’s Bulb Weight at Harvest Using a Multi-level Model Based on Growth and Meteorological Data
4. Determination of the geographic origin of garlic using the bioelement content and isotope signatures
5. Review of Management Strategies of Constraints in Garlic (Allium sativum L.) Production
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1. Garlic yield monitoring using vegetation indices and texture features derived from UAV multispectral imagery;Smart Agricultural Technology;2024-08
2. Prediction of Live Bulb Weight for Field Vegetables Using Functional Regression Models and Machine Learning Methods;Agriculture;2024-05-12
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