Evaluation of Different Methods and Models for Grass Cereals’ Production Estimation: Case Study in Wheat

Adequate management of agricultural crops requires, among other things, accessible and sufficiently accurate methods for assessing plant nutrition crop vegetation status production estimation. Sustainable technologies are based on correct decisions, prompt interventions appropriate works, information in real time, the obtaining can be simple, accessible, relation to different user categories (e.g., farmers, researchers, decision makers). This study used mineral fertilization (NPK), with 11 experimental variants, ensure a controlled differentiated wheat plants, “Alex” cultivar. Regression analysis was obtain models estimating production, by on: (a) NPK fertilizers applied (F) variants; (b) physiological indices (PI), represented chlorophyll content (Chl), terms macroelement leaves, evaluated foliar diagnosis (Nfd, Pfd, Kfd); (c) imaging (IA) digital images calculated indices. A set obtained, precision levels statistical safety: R2 = 0.763, p 0.013 model (NPKF); 0.883, < 0.01 (NPKfd); 0.857, (Chl); 0.975, normalized rgb color parameters (RGB system); 0.925, DGCI index. The (F model) tested data, period six years, communicated studies. Fit degree between predicted yield F (six-year average) confirmed 0.717, compared 0.763 this study. obtained study, related cultivar, studies, but certain margin error, given coefficient values, specific equations. approach concept, methods, presented opportunities studies facilitate their comparative analysis, adaptation, and/or development form new that useful research, or practices, integration into strategies.