Search results for "Precision agriculture"
showing 4 items of 34 documents
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications
2014
Remote sensing is a key tool for precision agriculture applications as it is capable of capturing spatial and temporal variations in crop status. However, satellites often have an inadequate spatial resolution for precision agriculture applications. High-resolution Unmanned Aerial Vehicles (UAV) imagery can be obtained at flexible dates, but operational costs may limit the collection frequency. The current study utilizes data fusion to create a dataset which benefits from the temporal resolution of Formosat-2 imagery and the spatial resolution of UAV imagery with the purpose of monitoring crop growth in a potato field. The correlation of the Weighted Difference Vegetation Index (WDVI) from …
The potential of γ-ray spectroscopy for soil proximal survey in clayey soils Le potentiel de la spectroscopie a rayons-γ lors de l’echantillonnage pe…
2013
La spettroscopia di raggi-γ misura la distribuzione e l’intensità della radiazione gamma emessa naturalmente dai suoli o dalle rocce. I radionuclidi più importanti nel suolo come fonte di raggi gamma sono: 40K, 232Th, 238U ed 137Cs, quest’ultimo di origine artificiale, principalmente legato all’esplosione di Chernobyl o ad inquinamenti radioattivi. La distribuzione e la quantità di questi radionuclidi è strettamente dipendente dalla mineralogia del parent material e dalla capacità di scambio cationico del suolo. Scopo di questo lavoro è quello di mostrare le potenzialità di un rilevamento prossimale con spettroscopia di raggi-γ in campi sperimentali con suoli argillosi della Sicilia occiden…
Biomass estimator for NIR image with a few additional spectral band images taken from light UAS
2012
A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.
Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS
2012
In this paper we consider methods for estimating forest tree stem volumes by species using images taken from light unmanned aircraft systems (UAS). Instead of using LiDAR and additional multiband imagery a color infrared camera mounted to a light UAS is used to acquire both imagery and the DSM of target area. The goal of this study is to accurately estimate tree stem volumes in three classes. The status of the ongoing work is described and an initial method for delineating and classifying treetops is presented.