سجادی, سید جواد
دانشگاه گنبد کاووس
[ 1 ] - پیشبینی عملکرد سویا در شرایط دیم با استفاده از سیستم استنتاج نروفازی (ANFIS)
Productivity of rainfed crops may be predicted using the climatic parameters. Crop yield prediction has an important role in agricultural policies including determining the crop price. Well-known prediction methods are regression method and arterial neural networks. In this paper soybean yield is predicted using Adaptive Nero-Fuzzy Interface System (ANFIS) and 11 years of climatic data (1998-20...
[ 2 ] - کاربرد شبکههای عصبی مصنوعی در پیشبینی عملکرد محصول کلزا
Crop yield prediction has an important role in agricultural policies such as specification of the crop price. Crop yield prediction researches have been based on regression analysis. In this research canola yield was predicted using Artificial Neural Networks (ANN) using 11 crop year climate data (1998-2009) in Gonbad-e-Kavoos region of Golestan province. ANN inputs were mean weekly rainfall, m...
نویسندگان همکار