Monitor key parameters of winter wheat using Crop model

6th Digital Earth Summit

地球科学;计算机科学

Jibo, Yue^1,2 ; Haikuan, Feng^2 ; Xiudong, Qi^1

School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China^1

National Engineering Research Center for Information Technology in Agriculture, Beijing, China^2

关键词: Canopy coverage;    Field measurement;    Ground measurements;    Growing season;    Particle swarm optimization algorithm;    Precision farming;    Simulation accuracy;    Winter wheat field;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/46/1/012001/pdf
DOI  :  10.1088/1755-1315/46/1/012001

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Estimation of biomass, canopy cover and yield is very important to agricultural decision Precision Farming. During the winter wheat growing season of 2013/2014, field measurements were conducted at Yangling District, Shaanxi Province at the jointing stage, heading stage and filling stage. AquaCrop model and Particle swarm optimization algorithm was used to find the global optimal simulation when the intermediate variable was the biomass. Through the simulation for each of the experimental data, biomass, canopy coverage and soil moisture were verification by ground measurements. Based on 8 sets of data, the simulation accuracy was calculated. The RMSE, nRMSE, MAE and R2 between simulation and measured biomass were 1.06 ton/ha, 11.92%, 0.90 ton/ha and 0.92. The RMSE, nRMSE, MAE and R2 between simulation and measured canopy cover were 8.92%, 9.84%, 7.84% and 0.66, respectively. The simulation results show that the AquaCrop model can help the decision making of winter wheat field in arid areas.