To explore the feasibility of using UAV-LiDAR for measuring the leaf area index (LAI) of crop canopies, we employed UAV-LiDAR to scan sugarcane canopies during the tillering and elongation stages, acquiring canopy point cloud data. Subsequently, features such as average row height, projected row area, point cloud density at different canopy layers, and the ratios between these parameters were extracted. Three feature selection methods-partial least squares regression (PLSR), XGBoost feature importance (XGBoost-FI), and random forest-recursive feature elimination (RF-RFE)-were adopted to evaluate and identify the optimal input variables for modeling. With these selected variables, LAI inversion models were developed based on random forest (RF) and adaptive boosting (AdaBoost) algorithms, and their performance was assessed. Among the extracted features, the projected row area S_p and the total row point count C_total exhibited strong correlations with LAI, with correlation coefficients of 0.73 and 0.72, respectively. The AdaBoost-based LAI inversion model, using the projected row area S_p, average height H_avg, mid-layer point cloud density C_m, and total row point count C_total as input variables, achieved the best performance, with a coefficient of determination (R_v²) of 0.713 and a root mean square error (RMSE_v) of 0.25 on the validation set. This study provides an effective method for high-throughput acquisition of LAI in field crops, offering valuable scientific support for sugarcane field management and breeding efforts.
Plant Leaves/growth & development* ; Saccharum/growth & development* ; Algorithms ; Unmanned Aerial Devices ; Remote Sensing Technology/methods* ; Crops, Agricultural/growth & development*

Objective To detect the expression change of ETFβin diabetic nephropathy rats and study the role of ETFβin fatty acid-induced apoptosis in renal tubules.Methods Diabetic nephropathy model was established by intraperitoneal injection of streptozotocin and unilateral nephrectomy.In vivo ETFβexpression was detected in renal cortex, as well as tubular injury evaluated.In vitro fatty acid-induced apoptosis in renal tubular cells NRK 52E model was established and ETFβrecombinant plasmid was constructed to be transfected into NRK 52E cells and furtherly to observe the effect of ETFβover-expression on the fatty acid-induced apoptosis.Results In the rats model of diabetic nephropathy induced by streptozotocin injection and unilateral nephrectomy, ETFβmRNA and protein expression were decreased as obvious tubular damage occurred.Fatty acids could induce apoptosis in NRK 52E, and ETFβover-expression reduced the apoptosis.Conclusion The expression of ETFβis decreased in diabetic nephropathy model , and ETFβover-expression can reduce apoptosis induced by fatty acid in renal tubular cells.