Spectral reflectance data originating from Unmanned Aerial Vehicle (UAV) imagery is a
valuable tool to monitor plant nutrition, reduce nitrogen (N) application to real needs, thus …

Remote sensing-based nitrogen (N) management has been evaluated in many crops. The
water background and wide range of varieties in rice (Oryza sativa), are unique features that …

The accurate identification of rice varieties using rapid and nondestructive hyperspectral
technology is of practical significance for rice cultivation and agricultural production. This …

Leaf area index (LAI) is an important indicator of crop growth and water status. With the
continuous development of precision agriculture, estimating LAI using an unmanned aerial …

Rice is an indispensable food crop for human beings. Rice varieties are closely related to
disease resistance, insect resistance, lodging resistance, grain quality and yield. Different …

The accurate estimation of rice yield using remote sensing (RS) technology is crucially
important for agricultural decision-making. The rice yield estimation model based on the …

Spectroradiometry has gained popularity over conventional techniques and is now used in
numerous fields, such as in hyperspectral remote sensing. Spectroradiometry allows the non …

Satellite remote sensing of leaf nitrogen (N) content is an interesting technique for
agricultural crops for both economic and environmental reasons since it allows the …

This study was carried out to determine nitrogen, phosphorus, and potassium contents of
rangeland plants using spectral reflectance value. The measurements were made in 1 m2 …

An efficient assessment of rice varieties in tropical regions is crucial for selecting cultivars
suited to unique environmental conditions. This study explores machine learning algorithms …