Triangular Greenness Index (TGI) is calcultated from the area of a triangle that is defined by 3 points for the reflectance pf wavelength (480nm, R480, 550nm, R550 and 670nm, R670, R= Reflectance of wavelength). The formula for TGI is: TGI = -0.5[190(R670 – R550) – 120(R670 – R480)] Article: U.S. Department of Agriculture: Agricultural ResearchService,
Introduction Precision agriculture workflows involve operation of aerial drones, sensors/cameras, and software applications. The goal is to gain valuable insights into your crops. In recent times, the number of growers using drones to collect crop and field data has increased significantly. Agriculture-specific applications have been developed to meet this demand. Users can plan autonomous flight
Agriculturalists are moving towards applying more advanced technology in order to maximize crop production and workflow efficiency. Some technological advances that have been made are the development in artificial intelligence (AI), electronic devices, and sensors. These technologies are often applied to data collection such as crop count, plant disease assessment, drought monitoring, and soil analysis.
The Parrot ANAFI USA drone has a double optical 4K EO camera. It has zoom in capabilities from wide angle to telephoto (32X). It can detect thermal data with high precision (within centimeters) from an altitude as high as 131ft. It is equipped with a FLIR Boson 320. The thermal camera has two thermal color
It is a lightweight fixed wing drone. It provides accurate results (down to 1.5 cm/.06 in) using the built-in, on-demand RTK/PPK. As with other drones using RTK and PPK, it is not necessary to set ground control points (GCP) to achieve the desired precision in the mapping survey. It is compatible with several cameras that
The soil line, in reference to remote sensing analyses, is a plot line of digital number values that typically fall 45° along this line. These values represent red light wavelengths against very-near infrared light (NIR) wavelengths. Generally, soil values fall close to the plot line and vegetation fall away from it. Thus, the vegetation plotting
ENDVI uses blue and green visible light instead of solely using red light. This index singles out plant health indicators better because it shows how the plant’s surface absorbs the blue light in contrast to the reflected green light and the NIR light, thus it generates a more reliable sign of the crop’s health. The
GRVI is another one of the vegetation indices that uses information from visible light range of the spectrum to determine the phenology present in a crop field. This index is calculated from the green and red light reflectance. The method involves a time series of GRVI readings to show the timing of greening-up to autumn-coloring.
VARI was originally designed for satellite imagery. It is a vegetation index the uses only light waves from the visible light section of the spectrum (Red, Green, Blue). It puts a quantitative value on vegetative fraction estimation (VARI = (Green – Red) / (Green + Red – Blue). The index is only affected by atmospheric
In DJI Mavic 3M, the M stands for multispectral. This Mavic 3 version couples a RGB camera and a multispectral camera that lets you survey and analyze your field and crops to determine how healthy your crop is as well as any environmental stress that might be present. The Mavic 3M’s multispectral camera has 4