EXPLORING MULTISOURCE FEATURE FUSION AND STACKING ENSEMBLE LEARNING FOR ACCURATE ESTIMATION OF MAIZE CHLOROPHYLL CONTENT USING UNMANNED AERIAL VEHICLE REMOTE SENSING

Crop chlorophyll content measuring plays a vital role in monitoring crop growth and optimizing agricultural inputs such as water and fertilizer.However, traditional methods for measuring chlorophyll content primarily rely on labor-intensive chemical analysis.These methods not only involve destructive sampling but also are time-consuming, often resu

The Mongolian Gobi-Eastern Steppe Ecosystem is one of the largest remaining natural drylands and home to a unique assemblage of migratory ungulates.Connectivity and integrity of this ecosystem are at risk if increasing human activities are not carefully planned and regulated.The Gobi part supports the largest remaining population of the Asiatic wil

Abstract Introduction Male urethral diverticula are rare.Patients with paraplegia may present with acquired diverticula as a result of prolonged catheterization.Diverticula may be asymptomatic or lead to lower urinary machine-accessories tract symptoms.Rarely, the diverticulum may initially present as a scrotal mass.Case presentation We report the

The single image super-resolution has become an important topic of discussion due to the demand for high-quality digital images Vitamin in the field of visual artificial intelligence.The deep learning-based approach has achieved great success because of its excellent ability to control complex features.Using simply extending or deepening the networ

Accurate predictions of the near Bitter Melon wake of horizontal-axis wind turbines are critical in estimating and optimizing the energy production of wind farms.Consequently, accurate aerodynamic models of an isolated wind turbine are required.In this paper, the steady-state flow around an experimental horizontal-axis wind turbine (known as the ME