Drone for crop monitoring: End waste and increase yields

Introduction

Imagine an agronomist walking across a 100-hectare field of wheat, trying to figure out where the problem is. Where is water holding? Where is mold starting? Where is fertilizer missing? It's impossible. The result is blanket spraying – wasting thousands of litres of expensive chemicals where they're not needed.

The problem with traditional agriculture is that it is "blind." It relies on averages and guesswork.

But what if you could have a detailed health map of every square meter of your field? Instantly? That's exactly the job for a drone equipped with special cameras. It's a tool that's revolutionizing precision agriculture.

⚙️ Problem: Why is surface spraying so expensive?

For every farmer, yield and cost are key. Manual control and blanket application are inefficient.

What it looks like in practice: A tractor drives through a field and applies the same dose of fertilizer or pesticide everywhere. It doesn't matter if the soil is good in one corner and poor in another.

The most common problems and losses:

• ➡️ Huge waste: You apply expensive sprays even to healthy areas. Costs skyrocket.
• ➡️ Hidden problems: By the time an agronomist notices a mold outbreak on foot, it is often too late and a large part of the field is affected.
• ➡️ Burden on nature: Unnecessary chemicals seep into the soil and water.
• ➡️ Low efficiency: You waste time and fuel treating areas that don't need it.

🤖 Solution: Drone as a "flying agronomist"

A drone is not just a toy for taking photos. In agriculture, it is a highly specialized analytical tool.

How does it work in simple terms?

• Flight planning: The agronomist "clicks" on the field boundaries on the tablet. The drone calculates the route itself to cover 100% of the area.
• Data collection (That's the magic): The drone doesn't take pictures with a regular camera. It uses a multispectral camera. It "sees" what the human eye can't - for example, how plants reflect infrared light.
• Analysis (AI): The software creates an index map (e.g. NDVI) from this data. On it, you see the fields not in colors, but in "health". Green = the plant is fine. Red = the plant is stressed (lacks water, nutrients or is sick).
• Action: The agronomist no longer walks through the field. He looks at the map and sees a "red" spot exactly 5x5 meters in size. He knows that the problem is only there.

📈 Key benefits: Savings, speed, higher yield

• 1. Radical cost savings
  Thanks to an accurate map, you know that you should only spray 10% of the field, not 100%. This saves tens of percent on fertilizers and pesticides, which is hundreds of thousands of crowns per year.
• 2. Extreme speed
  It takes days to inspect 100 hectares on foot. A tractor can cover it in half a day. A drone can scan the same area in detail in an hour. You have the information instantly.
• 3. Early detection and higher yield
  A drone can detect a problem (plant stress) days or even weeks before it is visible to the human eye. You can intervene before the disease spreads, saving your crop.
• 4. Precision agriculture
  You upload the data from the drone to a "smart" tractor, which then applies fertilizer only to the areas that need it according to the map.

🧠 What does a real deployment look like (Typical scenario)

Before: A farmer sees that his corn is turning yellow. Before he can figure out exactly where the problem is, he has to fertilize the entire field with nitrogen. Cost: 200,000 CZK.

After deployment (with drone):

• ✅ The farmer sends a drone. It flies over the field in 30 minutes.
• ✅ The map from the multispectral camera clearly shows that nitrogen is missing only in two strips where there is different soil (approx. 25% of the area).
• ✅ The farmer will send a tractor with a variable dose of fertilizer only to these locations.
• ✅ Result: Fertilization costs: CZK 50,000. Immediate savings of CZK 150,000 on a single application.

📦 Technologies that make it possible (Eyes, Brain and Hands)

The drone is a brilliant data collector. But what happens next? The data must be analyzed and action must be taken based on it. And here we encounter the same technologies that power robots in industry.

• Vision Systems (Eyes): A multispectral camera in a drone is just a type of specialized "vision system". We use the same principle of "vision" and image analysis for quality control in manufacturing or for guiding robots (Bin Picking).
• Robotic Arms (Analysis Hands): Drone data is great, but it often needs to be confirmed by soil or leaf analysis. This is where robots in laboratories come in. The Dobot CR10 arm can perform chemical analysis of samples with absolute precision – pipetting, mixing, loading into analyzers.
• Harvest and packaging automation: After a drone has helped grow the perfect crop, the next step in automation kicks in. Robotic arms like the UR10e with OnRobot grippers then sort, package, and palletize that crop.

❓ Frequently Asked Questions (FAQ)

What exactly does a multispectral camera see? It sees light that the human eye cannot. A healthy plant reflects infrared light strongly (due to chlorophyll). A stressed plant reflects less. The camera measures this difference and the software "colors" it into a comprehensible map.

Is it difficult to fly a drone? Do I need a license? Modern agricultural drones fly by themselves. You just specify the area on the map and the drone plans its own route, takes off, does the work and lands itself. However, for commercial flying (and depending on the weight of the drone), registration and a pilot's license with the Civil Aviation Authority are required.

What is the accuracy? Thanks to GPS and RTK corrections, the accuracy of the position determination is often down to centimeters. So you know exactly which square meter is problematic.

🧭 Conclusion

Crop monitoring with drones is not a toy. It is a key tool in precision farming. It gives farmers the data they need to make smart decisions. They stop wasting expensive sprays and fertilizers and apply them only where they are really needed. It is an investment that saves money, protects the environment and increases yields.

Find out how data collection and automation can help your operation - visit svet-robotu.cz and discover solutions for smart manufacturing and analytics.