Winter wheat yield prediction using convolutional neural networks from environmental and phenological data - Srivastava, Amit Kumar; Safaei, Nima; Khaki, Saeed; Lopez, Gina; Zeng, Wenzhi; Ewert, Frank; Gaiser, Thomas; Rahimi, Jaber (Scientific reports, 2022)
Keywords: 631/449; 704/158; Agricultural production; Correlation coefficient; Crop yield; Crops; Deep learning; Genotypes; Humanities and Social Sciences; Learning algorithms; Machine Learning; multidisciplinary; Neural networks; Neural Networks, Computer; Predictions; Science; Science (multidisciplinary); Seasonal variations; Seasons; Soil; Soil moisture; Triticum; Triticum aestivum; Weather; Wheat; Wind speed; Winter wheat