Autonomous sprayer: Precision and savings in agriculture
Introduction
Imagine a huge field of strawberries or thousands of seedlings in a modern greenhouse. Each plant needs care – precise amounts of pest spray or fertilizer. But how do you ensure that each leaf gets exactly what it needs without wasting it? And how do you do that when you lack the people to do this physically demanding work?
Until recently, it was either manual labor (with health risks) or large, clumsy machines that wasted chemicals.
But today there is a solution that combines the best of both worlds: the autonomous sprayer. It is a robot that sees
, understands
and delivers the spray with millimeter precision. Thanks to AI and advanced sensors, it knows where to spray and where not to.
⚙️ Problem: Waste and inefficiency in agriculture
Modern agriculture and cultivation require efficiency and sustainability. Waste of chemicals and human labor is unacceptable.
What it looks like in practice: Workers in the fields carry heavy sprayers on their backs, or a tractor with a large boom drives over the entire area. Chemicals fall where they shouldn't (on the soil, on healthy plants).
The most common problems and losses:
- ➡️ Huge waste of chemicals: Spraying is applied "over the surface". This means that a large amount of expensive fertilizers and pesticides ends up where they are not needed - on the soil or at the edges of the field.
- ➡️ Shortage of workers: Physically demanding work with chemicals is unattractive. There is a shortage of people for it.
- ➡️ Uneven application: Human error or uneven terrain leads to some plants receiving too much and others not enough.
- ➡️ Environmental pollution: Excess chemicals seep into the soil and water.
- ➡️ Health risks: Operators are exposed to chemicals.
🤖 How a "smart" sprayer helps (Precision farming)
An autonomous sprayer is not just a "robot on wheels." It is a complex system that combines navigation, sensors, and artificial intelligence.
How does it work in simple terms?
- ➡️ Navigation: The robot moves around the field using GPS and RTK (Real-Time Kinematic) – which is more accurate GPS with signal correction.
- ➡️ Eyes (Cameras & AI): The most essential part. The robot is equipped with special cameras (often multispectral) and AI. This AI is "trained" to recognize healthy plants, weeds, or even individual pests.
- ➡️ Real-time decision-making: When the robot "sees" a plant attacked by a pest, it immediately activates the spray nozzle, which aims only at the affected area.
- ➡️ Minimum consumption: Where the AI does not see a problem, the robot does not spray.
As a result, chemical consumption decreases by tens of percent, the impact on the environment is minimal, and plants get exactly what they need.
📈 Key benefits: Savings and sustainability
-
1️⃣ Radical savings on chemicals
This is the main benefit. Applying "drop by drop" only where needed reduces the consumption of expensive fertilizers and pesticides by 30% to 90%. -
2️⃣ Reducing environmental impact
Fewer chemicals = less burden on soil, water and surrounding ecosystems. -
3️⃣ Increased quality and yields
Each plant receives optimal care. This leads to healthier plants, higher yields and better product quality. -
4️⃣ Automate boring and dangerous work
The robot takes over the monotonous and physically demanding tasks with chemicals, freeing up human labor for more complex, strategic tasks. -
5️⃣ 24/7 operation in all weather conditions
An autonomous sprayer can work even at night or in conditions that would be unsuitable for humans.
🧠 What does a real deployment look like (Typical scenario)
Before: A large tomato greenhouse. Workers walk around and manually apply the spray to individual plants. It's slow, expensive, and error-prone.
After deployment:
- ✅ A small, electric autonomous sprayer moves along the rows of tomatoes.
- ✅ Its AI camera scans every sheet.
- ✅ Once it detects incipient mold on one plant, a microscopic nozzle applies a precise amount of fungicide to it. Surrounding healthy plants remain untouched.
- ✅ Result: Fungicide consumption decreased by 70%. Tomatoes are healthier, production is higher and workers are dedicated to the harvest.
📦 Technologies that make it possible (Bridge to your products)
Even if you don't sell entire autonomous sprayers, the technologies inside are based on sensors, controllers, and sometimes even handling arms.
- Dobot CR10 – flexible robotic arm For some applications (e.g. in laboratory grow rooms or specialized farms), a robotic arm with a camera can serve as a stationary "micro-sprayer" with absolute precision on a small area, complementing large solutions.
- OnRobot RG6 – smart gripper for manipulation Many autonomous systems need to not only spray, but also grasp (e.g. take a soil sample, manipulate a seedling). In this case, OnRobot smart grippers are the "hand" for data collection or fine manipulation.
- Vision systems/3D cameras: The "eyes" are the heart of an autonomous sprayer. These systems are not just for industry, but are crucial for weed detection, plant disease, and real-time navigation.
❓ Frequently Asked Questions (FAQ)
Is an autonomous sprayer expensive? The initial investment is higher than a tractor. But the radical savings on chemicals and labor mean that the return on investment is very fast, often within 1-3 years, especially for expensive crops and large areas.
Can I use it on my existing field/greenhouse? Yes. Most systems are designed for easy implementation. The robot maps the terrain itself and does not need complex adjustments.
How about safety? Autonomous sprayers are equipped with many sensors (LiDAR, cameras) to detect obstacles (trees, people, animals) and safely stop or avoid them.
Can it recognize different types of weeds? Yes. Modern AI models are trained on huge datasets and can recognize hundreds of weed species and plant diseases with high accuracy.
🧭 Conclusion
Autonomous sprayers are not just about "spraying". They are about sustainability, efficiency and minimizing environmental impact. They are an investment that will quickly pay for itself with radical savings in chemicals and labor. They represent the future of precision agriculture, delivering healthier crops at lower costs.
Find out how robotization can help your farm or grow room - visit svet-robotu.cz and discover solutions that are changing agriculture.