Abstract
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.
Highlights
Winter wheat biomass, crop coverage and soil moisture are frequently used variables in precision agriculture
The simulation results show that the AquaCrop model can help the decision making of winter wheat field in arid areas
Biomass refers to the total amount of organic matter in the unit area of a certain time, crop coverage refers to the ratio of the vertical projection area to the area of a plant, those parameters can be intuitive to use to monitor the growth of crops
Summary
Crop coverage and soil moisture are frequently used variables in precision agriculture. Those parameters play an important role in monitoring the growth of agriculture, the accurate and continuous parameter estimation can provide guidance for farming production scientifically. The water use in irrigated agriculture was about 72% of the fresh water resources in the whole world, but drought in arid regions is still a widespread phenomenon for the shortage of water resources [1]. Monitor the parameters of crops, take the drought in arid and semi-arid regions effectively is very important for agricultural management department
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