The Comprehensive Evaluation of Oat and Pea Intercropping Performance in High-altitude Regions Based on Multi-source UAV Image Data Prediction
Oats(Avena sativa)and peas(Pisum sativum)are nutritious and palatable,serving as important winter forage for livestock in the cold high-altitude regions of the Qinghai-Tibet Plateau.However,the suitable proportion of intercropping oats and peas varies due to differences in soil,bioclimate conditions,and management levels.Traditional estimation methods of grassland forage yield are time-consuming,labor-intensive,destruc-tive,and challenging to scale up from single points to regional scales.Therefore,this study conducted in Haibei Prefecture,Qinghai Province,established oat and pea intercropping grasslands with different mixing ratios.By ana-lyzing the interspecific relationships and forage yield of different intercropped grasslands,the optimal oat and pea intercropping ratio in Haibei Prefecture was evaluated and selected.Utilizing multi-source UAV image data,prin-cipal component analysis,and membership function method,this study aimed to identify spectral indices suitable for estimating grassland yield,thereby enhancing the efficiency of grassland forage yield estimation.The results of this study indicate that a 5∶5 intercropping ratio enhances both oats and peas in intercropped grasslands,resulting in the highest dry forage yield.Furthermore,using a UAV equipped with a multi-functional imaging sensor to col-lect multi-source images is an effective method for efficiently predicting grassland forage yield in oat-pea inter-cropped grasslands.Spectral indices such as REDVI,MSAVI,DVI,RVI,MNDI,and NDRE can be utilized to predict and evaluate forage yield in intercropped grasslands.
Mixed sowing of rice beansOatsPeasComprehensive evaluationUAV multi-source image data
万方数据
维普
