For instance, small Drones/UAVs are employed in agriculture for crop observation, crop monitoring, subject analysis and map generation via aerial surveys. And with the obtainable software and 'mission planning tools' market growing, so is the demand for information and understanding about its utilization and limitations. Drones are a robust tool for farmers and agronomists to evaluate the well being of their crops. With the utilization of drones, they will get an overview of their fields and acquire knowledge a lot faster and extra effectively than conventional strategies. Drones will enable farmers to see how healthy their vegetation are, the place they could need water or nutrients, and if there is any pest exercise before it will get uncontrolled.

div style="text-align:center"> <iframe width="567" height="315" src="https://www.youtube.com/embed/Dn7Q4oIrP3I" frameborder="0" alt=" <a href="https://allrc.pk">Agriculture Drones</a> " allowfullscreen></iframe></div> FAA also holds the authority to dictate any use of drones in business or non-public areas. Thus farmers need to have a complete understanding of the rules and regulations, which can be too difficult for lots of farmers. Below, we've come up with some broadly used drones functions within the agriculture trade. Journal of Ecology lately featured an article on the findings of how agricultural drone evaluation from Microdrones helped affirm Alan Turing’s theory for Australian Fairy Circles. For more on drones in agriculture and 7 other industries, see PwC’s complete report. Our unmanned floor automobiles are developed for unmanned farms and designed based on numerous agricultural wants.

h2>Latest Firm Information</h2> Not solely can multi-copter drones be used for photogrammetry, however their design additionally permits them for use for precision spraying of pesticides, fertilisers and even seeding. Drones use in agriculture varieties a half of an rising development to use superior technologies in farming operations that permit farmers to optimise their workflow and use resources extra efficiently. Sorry, I could not discover any company that provides the service you are in search of, would you be prepared to take a glance at an different to RADAR? There are drones that come equipped with LiDAR sensors, which can seize the kind of knowledge you are looking for.

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" width="300px" alt="Agriculture Drones"> This regular and precise data seize enabled DroneAG to determine progress and issues, and acquire correct comparisons. The team mapped the plots and flew over the websites at four key times all through the season to establish early institution, later crop progress, and possible illness detection. Drone AG has been utilizing the DJI Mavic 2 drone, together with drone software packages Pix4Dfields, DroneDeploy, and Skippy Scout, to conduct wheat monitoring. Remote Vision is one firm deploying DJI Agras drones for winery administration, flying the MG-1P and T16 in Switzerland. Users can entry DJI Terra shapefiles and apply them to spraying and seeding operations, carried out by Agras drones.

h3>Key Benefits Of Agricultural Drones</h3> This comprehensive package deal makes agricultural practices more environment friendly by combining a range of drones, such as the DJI Agras sequence, the DJI Phantom 4 RTK, and the DJI Phantom 4 Multispectral. RTK module provides real-time centimetre-level positioning data for improved absolute accuracy of picture metadata. The DJI Matrice 300 RTK can also be integrated with third-party payloads, enabling farmers to pair the drone with devoted and specialist NDVI and multispectral sensors. Other leading options include the RedEdge-MX Dual Camera Imaging System, from MicaSense, providing 10 bands for advanced remote sensing and agricultural research. It may be integrated with DJI drones, such because the Inspire 2, and UAS within the Matrice 200 Series.

ul> <li>Gathering accurate information in all phases of rising crops is essential as it'll help farmers detect any points as regards to the health of plants and soil quickly and permit them to take motion and mitigate the issue.</li> <li>It has a novel design and has a carbon fibre body which is protected by a 3-layer EPP foam.</li> <li>The market is anticipated to grow at a high CAGR of 19.2% by generating revenue of $6,244.5 million in the 2021?2028 timeframe.</li> <li>Quantify and tag issues in an computerized report, then monitor the impact of remedy plans over the course of the season.</li></ul> This is DJI’s most superior industrial grade drone, it has a robust all-weather design that permits it to be operated in the harshest of weather situations. It additionally has the longest flight time of any DJI drone at 55 minutes and a most transmission vary of 15km. This consists of the full-frame 45MP Zenmuse P1 camera and the Zenmuse L1 Livox LiDAR sensor.


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Last-modified: 2022-09-15 (木) 20:06:11 (594d)