​Cloud Computing and Advanced Analytics brings real value to farmers and agronomists
Over the past few years, technological advances have made the price of drone hardware much more accessible by the average agricultural professionals. Quadcopters are easier to produce, the motor is more efficient, and the battery life has increased. With DJI lead, a farmer can buy a mapping drone between one and three thousand dollars, lowering the entrance barrier and making the risk of investing in a much better drone.


After a farmer takesup and buy drones, the mapping process is far more user friendly than the first. For starters, household internet speed has increased rapidly, allowing most of the world computing to move to the cloud. Drone mapping is no exception. Now, instead of collecting data, returning to desktop computers and through the tiring process of tiring maps locally, a farmer can take a tablet or smartphone, fly 160 hectares only on one battery, and upload the image to the cloud to process so landing. Mapping software companies such as Drone deploy do the rest and a farmer does not need to have technical knowledge about photogrammetry to realize this.


As an industry, we also have a much better idea about what to do with all this drone data. Even though we still have to learn a lot, companies like Agremo, Aglytix, and Skymatik have developed solutions that calculate plants, analyze the number of stands, and calculate plant damage. The main players like John Deere, Case IH-New Holland (CNH), and climate precision have begun to recognize the value of this analytic level to bring to the world of agriculture, and have thrown their hats into the ring to make a field solution for drone software. They are additionally ready to plant significantly more effectively with a group of two administrators and ten Drones fit for planting 400,000 trees per day.

Market Growth of Agriculture Drone software


For our part, Drone deploy users recently reached a 10 million hectare milestone that was mapped using our software. Our large basis of our users in the field of agriculture consistently challenges us to improve and improve our software and analytics. Some of our latest Ag's related advances include:
Improved image stitches that eliminate 90% hole in the final plant map of the season.
Compatibility with sentera and slantrange, sophisticated Near-infrared sensors and multispectral specifically designed for agriculture.

Field scanner: Create a real-time map and use the drone data to act quickly against the threat of plants before the drone even lands.
Things to consider before developing a drone solution on agriculture
Drones are accessible and relatively inexpensive, but there are important things to take into account before implementing a drone solution.

The steps involved in turning your agriculture into an enhanced agritech business drone including the following 5 aspects:
 
1. Determine destination
Farm drones have various applications: field monitoring and cutting, seed planting, cow supervision, etc. What do you want them to do? Determine the core agricultural process that you believe will benefit the most of using drones.
 
2. Learn the law
Better yet, hire lawyers to take care of all legal aspects involved in the use of commercial drones. This will vary depending on the country or country where you live. Register your drone if you have to find out which type of drone can be legally used in your area. Also, carefully study security instructions to fly your drone, because you will be responsible if an accident occurs.
 
3. Decide the drone hardware
Based on the task you want to achieve, it is necessary to decide which hardware to complete your drone. For example, for plant health monitoring, your drone will need an infrared camera. If you want to estimate soil conditions, it will need the right sensor, etc. In short, your drone capability will depend on the tasks that exist in your mind.


4. Choose the type of drone software
Data collected by your drone must be processed with agricultural drones. You will most likely need navigation and flight management software, mapping, and data processing software and images, depending on your type of drone. In some cases, software that has been finished, the out-of-the-box will not function and you will need a specially made solution.
 
5. Develop drone software made specifically
At the initial stage, this will require an understanding of data collection, analysis, and visualization processes. Furthermore, you will need in-depth knowledge of plant physiology to instruct the software algorithm to recognize certain patterns that indicate plant conditions (the same applies to soil conditions or animal behavior patterns for livestock).
 
You also have to decide about the optimal type of image processing, and on how your drone data will correlate with other metrics - such as moisture, temperature, topographic fields, etc.
 
Last thought
Agriculture drone Software technology has the potential to change modern agriculture in several ways. However, to fully benefit from it, farmers must go through a careful preparation process - starting from estimating business goals, to decide on the right hardware. We even build precision agriculture software.
 
All in all, the development of agricultural drone technology is a complex task that will require partner with reliable third-party hardware and software providers.