Determining the best area for plantations and agriculture takes a long time and deep research. In the previous era, photogrammetry has become a helpful tool for plantations surveys. It uses to capture the area of ownership limit. However, photogrammetry technology needs to improve to get in-depth information about the land. The photogrammetric method using drones rides is auspicious. High spatial resolution will produce a large-scale and thorough map with area coverage of a specific area. Drones in agriculture have been rising in recent years—drones are used for mapping and aerial photography. Drones have been instrumental in recent years for the daily management of large-scale agricultural fields and have been able to help farmers identify and remove weeds long before they become a problem. To explore more, let's see what advantages of drones for agriculture mapping.
Mapping drones, an agronomist's best friend to save time & money
Agronomists quickly adopt drones to map their fields and save time and money. These devices can fly over large areas and create a precise 3D spatial map of the entire field, easily uploaded to computer software. It enables farmers and agronomists to monitor their crops in real-time, find sick or dead crops, and identify water hazards such as pools, ponds, or other bodies of water that may provide additional nutrients for the plant.
Agronomists also use drones to map the land and determine where the crops grow best. They can use this data to make more informed decisions on what types of fertilizers they need to use, what kind of harvesting equipment they need, and how much water should give to their crops.
How mapping drones can help with use cases
Mapping drones are used for many different purposes, such as mapping out a new area for exploration, surveying a site for natural resources, or monitoring the environment to detect changes in the ecosystem. Drones can be equipped with sensors to measure air quality, water quality, and other environmental indicators. Avirtech delivers multiple solutions for drone mapping, as can see in the use case below.
Coconut tree counting and health detection
Located in Taliabu Island, North Maluku, Indonesia, Avirtech did tree counting and health detection for coconuts plantations. In this case, we used an RGB sensor for 6 cm Ground Sample Distance (GSD) and a multispectral Micasnse RedEdge MX sensor. The first step, the drone mapping, focused on analyzing the identification and counting of coconut trees, including trees' height. Then, it categorized each tree's condition (healthy and unhealthy) using the vegetation transformation index. Estimated mapping to identify factory location, and the last ground-truthing to check product quality.
Palm oil health detection