Monitor key parameters of winter wheat using Crop model

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 m...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 46; no. 1; pp. 12001 - 12006
Main Authors Jibo, Yue, Haikuan, Feng, Xiudong, Qi
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.11.2016
Subjects
Algorithms
Arid regions
Biomass
Canopies
Cereal crops
Crop yield
Decision making
Particle swarm optimization
Precision farming
Simulation
Soil moisture
Triticum aestivum
Wheat
Winter
Winter wheat
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Summary: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/46/1/012001