Analysis of the grain loss in harvest based on logistic regression

• DOI: 10.1016/j.procs.2017.11.426
• Publication Date: 2017-12-12T04:40:23Z
• Authors: Tingkai Huang; Bingchan Li; Dongqin Shen; Jie Cao; Bo Mao
• Keywords: 0101 mathematics; 01 natural sciences

In this paper, the grain loss assessment was studied based on logistic regression, and 5400 samples of 31 provinces in our country year 2012-2014 were selected, 7 typical among them respectively tested. Using regression model to predict rate harvesting step, prediction result is 86.25%. The stochastic gradient descent algorithm used optimize parameters model, when learning_rate 0.1, results harvest losses up 92.53%, which further improves accuracy step loss.