Drones and agriculture in 2017

4 videos      6 ways to use drones      Case studies      Cost?      Quick checklist      Example Inquiries     Get some quotes    

4 Informative videos

4min: drone crop spraying with the Yamaha R-Max

4min: Precision weed management on a cane farm

5min: Drone field scouting, checking animals, locating weeds – interview with John from North Dakota State University

2min: Introducing the DJI Agras drone for Crop Spraying

6 ways farmers are using drones in 2017


1. NDVI crop health assessment

Normal cameras record images in three bands of the visible spectrum – red, green, and blue. By comparison, the hyperspectral camera captures 270 bands in the visible and near-infrared portions of the spectrum, providing far more detail than the human eye can see. Drones are now capable of carrying small versions of these incredible cameras, which were once so large and expensive only satellites and planes could carry them. See 2-min example video

The hyperspectral camera allows for the classification of different kinds of crop or vegetation type. Every object gives off a unique hyperspectral signature, kind of like a human fingerprint. A diseased plant gives off a different signature than the equivalent healthy one. From the data that the camera collects, agronomists can measure pigment absorbance and see cellular integrity problems to identify nutrient deficiencies and pest infestation.

Eventually there will be a large database of these unique signatures - allowing the quick and easy identification of specific crop species and health. Artificial intelligence algorithms can automatically recognise and classify these unique signatures - the hyperspectral equivalent of a police 'fingerprint database”. This database will become increasingly valuable to all kinds of crop farmers.

E.g. to spot bacterial or fungal infections on trees: a speedy response will save an entire orchard. In addition, as soon as a sickness is discovered, farmers can apply and monitor remedies more precisely. These two possibilities increase a plant’s ability to overcome disease. And in the case of crop failure, the farmer will be able to document losses more efficiently for insurance claims.

Final comment: Keep in mind that drones are simply airborne tools for increasing the amount of information your agronomist has access to. Drone-acquired data should rarely be considered in isolation, but in conjunction with soil assessment data and other property characteristics and variables that your agronomist already knows. Drones are simply adding more pieces of the puzzle for your agronomist as he or she moves more into precision agriculture.

2. Crop spot-spraying
Do you have a weed problem in isolated areas of your property, or areas that are steep or very difficult to access by walking or driving? LiDAR enables a drone to adjust altitude as the topography and geography of a property varies, and thus avoid collisions. Consequently, drones can scan the ground and spray the correct amount of liquid, modulating distance from the ground and spraying in real time for even coverage. The result: increased efficiency with a reduction of in the amount of chemicals penetrating into groundwater. In fact, experts estimate that aerial spraying can be completed up to five times faster with drones than with traditional machinery. One example of a drone operator with spray-drones

3. Soil and field analysis
Drones can be instrumental at the start of the crop cycle. They produce precise 3-D maps for early soil analysis, useful in planning seed planting patterns. After planting, drone-driven soil analysis provides data for irrigation and nitrogen-level management.

4. Seed distribution by drone
Start-ups have created drone seed planting systems that achieve an uptake rate of 75 percent and decrease planting costs by 85 percent. These systems shoot pods with seeds and plant nutrients into the soil, providing the plant all the nutrients necessary to sustain life. Talk to Aero-bugs in Queensland for more information.

5. Crop monitoring
Vast fields and low efficiency in crop monitoring together create farming’s largest obstacle. Monitoring challenges are exacerbated by increasingly unpredictable weather conditions, which drive risk and field maintenance costs. Previously, satellite imagery offered the most advanced form of monitoring. But there were drawbacks. Images had to be ordered in advance, could be taken only once a day, and were imprecise. Further, services were extremely costly and the images’ quality typically suffered on certain days. Today, time-series animations can show the precise development of a crop and reveal production inefficiencies, enabling better crop management. Drone data is used for things like identifying mis-planted or thin coverage areas, or assessing damage from events such as pigs or weather.

6. Irrigation
Drones with hyperspectral or thermal sensors can identify which parts of a field are dry or need improvements. Additionally, once the crop is growing, drones allow the calculation of the vegetation index, which describes the relative density and health of the crop, and show the heat signature, the amount of energy or heat the crop emits.



What crops are being scanned?
Faba beans
Soy
Cane
Almonds
Grape vines
Oranges
Lucerne
Melon Crops
Export Hay Production
Barley
Canola
Pulse Crops
Onions
Potatoes
Carrots
Possible outcomes for growers
Pinpoint areas of plant stress
Establish soil constraints - salt, shallow, drainage
Nutritional shortages
Scouting large areas quickly and accurately
Formation of germination
Irrigation deficiencies
Non-wetting areas
Identify soil disease areas
Identify fungal foliar disease areas
Identify root disease areas
Establish insect presence or damage
Establish low organic matter zones, sand hills
Create harvest zones for improved grain grades and profit / MT
Integrate VRT / GPS technology for cost saving benefits
Balance paddock agronomy to maximize total output

Case studies: drones on Australian farms

How much do ag. focussed drone operators charge?

Experienced drone operators in Australia will charge roughly $175-$250 per hour or a fee per hectare. These guys are not your run of the mill drone flyers – they have experience working with things like aerial data capture, handling windy days, knowing how and where to land, and using the appropriate algorithm for the crop at hand.

Before hiring a drone operator: quick checklist

1. Licenced and insured. Commercial drone operators must have one of these these 3 options covered before they can legally be hired by you. Also make sure your chosen drone operator holds a current public liability insurance policy that specifically covers the operation of a drone.

2. Relevant experience. As always - check the operator’s examples of NDVI maps, seeding, spraying or images of other properties for relevant experience. You might be looking for a basic survey, NDVI map, drainage analysis, animal head count, spot-spraying, or bug distribution – find someone who can actually demonstrate that they have done something similar to your request.

3. Area approval. Sometimes drone operators will need to request an area approval depending on the job location. You should ask your chosen operator about this before they commence the work. E.g. if your property is near an aerodrome.

Drones For Hire is the largest drone operator directory in Australia

169 agriculture specialist operators currently listed
14 agriculture quote requests made in the last 8 weeks
3 examples of actual quote requests below

Job type: Agriculture (e.g. Canola crop) - Spraying chemicals, granules or bugs
Job done by: By a specific date */*/2017
State: VIC
Name: Robert S***
Email: Heli********@*****.com
Phone: 0438 70* ***
Suburb: YEA******, ****
I have a property with a lot of blackberry. I saw a documentary recently on drones being used to distribute pellets to kill it. Total area is about 200 acres. Would like a price to put a drone over the larger patches of blackberry – each patch maybe 12m in diameter and about 30-50 patches in total. We can’t do it now as the season is over, it has to happen in nov. If it goes well my neighbours could probably do with the same thing.
Job type: Agriculture (e.g. Canola crop) - Crop analysis (NDVI)
Job done by: I am not sure yet
State: NSW
Name: Chris ***
Email: sto***@*****.**.**
Phone: 02 6657 ****
Suburb: EBOR*****, ****
Looking for a quote to ndvi map approximately 200 acres of pasture.
I'm located at **** NSW.
You can reach me on ********** after 6pm please. Thanks Chris.
Job type: Agriculture (e.g. Canola crop) - Crop analysis (NDVI)
Job done by: I am not sure yet
State: QLD
Name: Mario P***
Email: mpo***@*****.com.au
Phone: 0418 77* ***
Suburb: ING*******, ****
We are a significant farming operation in Qld. Have been farming here for many years. We are in cattle and sugar, and rock. We cut about 110,000 tonne of cane per year. Location is ******, about 110km north of *******.
We are going to trial drones for ag. survey and for quarry volumes. There is about 3,500 acres of cane all up. would like to start with a trial to get data on a specific area. Sugar cane inspections e.g. Ndvi maps looking at density, species analysis (where the weeds are etc) and pest data.
We are setting up a data station here over the next 2 years and I will be working closely with our agronomist to acquire data from our land in various ways including by drone.
We are also looking at this software *******
Please get in touch if you have the relevant experience and equipment to propose to do a trial as described above.

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