Prediction of wheat moisture content at harvest time through ANN and SVR modeling techniques

Author:

Abdollahpour Shamsollah,Kosari-Moghaddam Armaghan,Bannayan Mohammad

Funder

University of Tabriz

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference46 articles.

1. USDA (United States Department of Agriculture). World Agricultural Supply and Demand Estimates. link: https://www.usda.gov/. 2018

2. Ministry of Agriculture of Iran. Iran Agriculture Statistics. link: http://www.maj.ir/. 2016 [in Persian].

3. Metz N. The WA guide to high moisture harvest management, grain storage and handling. CBH Group; 2007.

4. Determining optimum planting dates for rainfed wheat using the precipitation uncertainty model and adjusted crop evapotranspiration;Bannayan;Agric Water Manag,2013

5. Drain and harvest timing affects on rice grain drying and whole-milled grain;McCauley;Field Crops Res,2002

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