The world is continuously changing. Day by day we are faced with more and more changes regarding the climate, technology, economy and society. All of these place their mark on agroecosystems. Major economic and environmental impacts can be obtained by providing water and nutritional supplements just to those plants that need them, only when they need and in proper quantities. In order to do this, a real time management of agricultural crops is necessary. The paper presents a solution for crop vegetation status monitoring in precision agriculture, based on hyperspectral sensors, namely on spectrometers, placed on an UAV (Unmanned Aerial Vehicle).
Proc. SPIE. 10664, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III
KEYWORDS: Vegetation, Data acquisition, Sensors, Spectrometers, Agriculture, Infrared sensors, Decision support systems, Global Positioning System, Near infrared, Data processing, Multispectral sensing, Hyperspectral sensing, Unmanned aerial vehicles, Unmanned systems
An efficient crops management, in the continuously changing context especially regarding climate, requires real time monitoring of soil resources and vegetation dynamics. A part of this process is the precision agriculture that supposes to investigate crops so that to allocate inputs as water and fertilizer, for example, only to the plants that need them, at the proper moment and in proper quantities. For monitoring the crops vegetation status different solutions are available on the market. Most of them acquire spectral data, process and represent them on maps offering support for proper farmer decision. MoniSCAN is such a software developed in a research project.