15 LiDAR Applications in Agriculture

LiDAR technology is one of the most advanced and most accurate technologies in the GIS system. Its uses cut across several industries with various professionals and institutions relying on LiDAR data for information. One such industry is agriculture. LiDAR is used extensively for various reasons in the agricultural sector. Below are some of its uses in this field.


1. 3D modeling

LiDAR technology is instrumental in developing 3D models of farmland and helps come up with accurate maps of the natural resources around that area. With this data, the farmer can then be able to discern the exact terrain of the farm and identify the water catchment area and the flow of erosion.

2. Determination of soil type

LiDAR technology can also be used to collect data that can identify the exact soil type that certain farmland has. This information is important to the farmer because it helps the farmer know which type of crops can be grown on that farm and what fertilizer should be applied.

3. Agricultural planning and management

LiDAR data can be used for the planning and management of agricultural farms. Using this technology, the farmer can be able to know the suitability of land for a particular crop and the best time to plant.

4. Precision Agriculture

LiDAR data is instrumental in precision agriculture. Precision agriculture is the planning of a particular farm site with the intention of increasing the productivity of this site by improving overall yields.

5. Land mapping

LiDAR data can also be used to map a farmland and come up with the exact design and map of the land. This data will also include the shape and terrain of the farmland. With this data, farmers will be able to know what to plant and how to plant crops on that farmland.

6. Yield Forecasting

LiDAR data has been used in forecasting the expected yields from a farm. This data generated by this technology helps farmers know the suitability of a particular crop on a given land based on the expected returns of the yields at the end of the season.

7. Determination of soil type

Experts have been able to determine the soil type of a particular area. The data collected has the ability to generate the exact soil type and the soil content. Experts can then use this data to advise farmers on the best possible farming practice.

8. Prevention of soil erosion

LiDAR technology has been instrumental in preventing soil erosion through 3D mapping and modeling of a given farmland. By getting the exact terrain of the farm and knowing the contours of a farm, farmers are able to come up with preventive measures to reduce or eliminate soil erosion.

9. Land segmentation

Another important use of LiDAR in agriculture is land segmentation. Through LiDAR technology, experts have been able to interpret the data to show the land patterns and use the information to segment the land for different uses.

10. Crop analysis

LiDAR can also be used to carry out general crop analysis and determine the suitability of the crop to thrive in a particular area. This can be done through estimation of the crop quality and measuring this against the ideal standards.

11. Field Management

LiDAR data can also be used to provide general field management services. These may include services like irrigation and the amount of water required to irrigate or how many times in a year a crop should be planted on given farmland.

12. Controlling crop yield

LiDAR technology can also be used to control the overall crop yield in a given season. This can be done through precision agriculture where a farmer can predict the crop yield and implement measures to increase the overall yield.

13. Production Zones

LiDAR can also help experts in identifying potential production zones in an area. The data collected through this technology can help select an area in your farmland where production is likely to be higher than the rest of the land.

14. Crop damage

LiDAR technology can be used to determine the extent to which crops in an area have been damaged and the cause of the damage. This can help farmers come up with mechanisms to prevent the damage and hence increase yields.

15. Soil analysis

Experts have been able to use the LiDAR technology to analyze soil content and soil type to determine its suitability for crop production. In several cases, they have been able to understand why certain types of soil do not lead to much crop yield and what to do about it.

1 thought on “15 LiDAR Applications in Agriculture”

  1. Great Topic.

    We can write you a more in-depth article if you want.

    While soil identification is important, this is usually done with Multi/Hyperspectral remote sensing because you need spectrum data. Commercial Lidar only provides geospatial measurement data.

    Look at smart land management ranging from topographical field design for optimum tractor use to hydrography for the smart use of fertilizer and water runoff. Finally, there are several 3Dmapping products such as solar aspect modeling to select which type of plans will do well for the solar conditions, especially when designing orchards and vineyards in hilly terrain.

    Let us know if you would like us to post an article for you at no charge.

    http://www.modusrobotics.com – we specialize in drone aerial Lidar systems

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