Drones equipped with multispectral sensors and LiDAR are used in agriculture for a variety of purposes, including crop yield predictions, crop health assessments, weed identification, and digital elevation model (DEM) creation.

Crop yield predictions using drones with multispectral sensors involve capturing images of the crops using the sensors and analyzing the images using specialized software to predict the yield of the crops based on factors such as plant growth, health, and vigor.

Crop health assessments using drones with multispectral sensors involve capturing images of the crops using the sensors and analyzing the images using specialized software to assess the health of the crops based on factors such as plant growth, vigor, and stress.

Weed identification using drones with multispectral sensors involves capturing images of the crops using the sensors and analyzing the images using specialized software to identify the presence and location of weeds in the field.

Creating digital elevation models (DEMs) using drones with LiDAR involves capturing detailed images of the terrain using the LiDAR sensor and using the images to create a detailed map of the elevation, slope, and features of the area. DEMs can be used for a variety of purposes, including land use planning, flood modeling, and crop management.

Drones equipped with multispectral sensors and LiDAR are a valuable tool for agriculture, as they allow farmers to predict crop yields, assess crop health, identify weeds, and create detailed maps of the terrain.