Many crop production management decisions can be informed using data from high-resolution aerial images that provide information about crop health as influenced by soil fertility and moisture. Surface soil moisture is a key component of soil water balance, which addresses water and energy exchanges at the surface/atmosphere interface; however, high-resolution remotely sensed data is rarely used to acquire soil moisture values. In this study, an artificial neural network (ANN) model was developed to quantify the effectiveness of using spectral images to estimate surface soil moisture. The model produces acceptable estimations of surface soil moisture (root mean square error (RMSE) = 2.0, mean absolute error (MAE) = 1.8, coefficient of correlation (r) = 0.88, coefficient of performance (e) = 0.75 and coefficient of determination (R 2 ) = 0.77) by combining field measurements with inexpensive and readily available remotely sensed inputs. The spatial data (visual spectrum, near infrared, infrared/thermal) are produced by the AggieAir™ platform, which includes an unmanned aerial vehicle (UAV) that enables users to gather aerial imagery at a low price and high spatial and temporal resolutions. This study reports the development of an ANN model that translates AggieAir™ imagery into estimates of surface soil moisture for a large field irrigated by a center pivot sprinkler system.
Men with spinal cord injury are at an increased risk for secondary medical conditions, including metabolic disorders, accelerated musculoskeletal atrophy, and, for some, hypogonadism, a deficiency, which may further adversely affect metabolism and body composition. A prospective, open label, controlled drug intervention trial was performed to determine whether 12 months of testosterone replacement therapy increases lean tissue mass and resting energy expenditure in hypogonadal males with spinal cord injury. Healthy eugonadal (n = 11) and hypogonadal (n = 11) outpatients with chronic spinal cord injury were enrolled. Hypogonadal subjects received transdermal testosterone (5 or 10 mg) daily for 12 months. Measurements of body composition and resting energy expenditure were obtained at baseline and 12 months. The testosterone replacement therapy group increased lean tissue mass for total body (49.6 ± 7.6 vs. 53.1 ± 6.9 kg; p < 0.0005), trunk (24.1 ± 4.1 vs. 25.8 ± 3.8 kg; p < 0.005), leg (14.5 ± 2.7 vs. 15.8 ±2.6 kg; p = 0.005), and arm (7.6 ± 2.3 vs. 8.0 ± 2.2 kg; p < 0.005) from baseline to month 12. After testosterone replacement therapy, resting energy expenditure (1328 ± 262 vs. 1440 ± 262 kcal/d; p < 0.01) and percent predicted basal energy expenditure (73 ± 9 vs. 79 ± 10%; p < 0.05) were significantly increased. In conclusion, testosterone replacement therapy significantly improved lean tissue mass and energy expenditure in hypogonadal men with spinal cord injury, findings that would be expected to influence the practice of clinical care, if confirmed. Larger, randomized, controlled clinical trials should be performed to confirm and extend our preliminary findings.
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