Description

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Product Application

* Innovation Product A22 by AGR independent R&D Team.

* Special shaped structure,stable and durable.

* Planting With Drone with Fold able arms, rapid transfer.

* Planting With Drone with Pluggable tank 22L, convenient to recharge.

* Applicable crops species including rice, cotton, maize, wheat, grape, cherry, orange, eggplant, peanut, sunflower, etc.
* AGR A22 uav agricultural spraying drone has certificates like ISO9001, FCC,RoHS and CE etc.
* Reduce working labor costs effectively and improve the working efficiency.

2（1）

Model	A22
Motor Type	Brushless Motor X 4
Hourly Operating Area	2-5.3 Hectare
Feature	Wheel design, Pluggable tank
Capacity	22L
Hovering Time (without payload)	25 mins
Hovering Time (full payload)	15 mins
Battery Type	Lithium-ion
Battery Volume	22000 mAh
Cover Finshing	Light Blue /Blue/Red/Grey/White/Customized
N.W	19kg
Maximum Take-off Weight	48kg

Autonomous Planting With Drone sprayers are coming; equipped with a weed scanner and crop sprayer, they scan crops using AI to identify weeds – precision agriculture defined – then apply pesticide only where needed. After 30 minutes they return to a field boundary station, refill their tank and top-up their battery.

“There are a number of projects today which use insights generated by Internet of Things (IoT) farming tools to improve efficiencies,” says AGR. “For example, applying deep learning techniques to Planting With Drone camera footage to help identify concentrated areas of weeds, applying herbicides only where they are needed. Similarly, crops can be gathered earlier or later using analysis of the colour and size of the crops.”

While spray drones can cover complete fields, it seems more likely economics will dictate they be used for spot spraying within row crops. Drones can easily be used to clean up fields, spray drowned out spots, control resistant weed escapes, or other small areas within a field versus using a high-clearance sprayer. In addition, they will be useful for conducting field research for new products since applications can be made to smaller areas without needing to traffic crops, especially for later season studies with fungicides.

For Planting With Drone to work effectively for spot- or small-area spraying, weed infestation or other areas of interest will need to be mapped in advance of application to support path planning for automated systems. On-going research at AGR R&d Team is addressing this need with projects focusing on utilization of artificial intelligence (AI) for classification of crop stressors including weed infestations, nutrient stress, disease and insect infestations.