Precision spraying without AI is receiving increasing attention within agriculture. Many developments focus on artificial intelligence, image recognition, and data analysis. However, WEED-IT deliberately chooses a different approach—not because AI cannot play a role, but because in practice a system must above all be reliable and predictable.
At its core, precision spraying revolves around a simple question: where should you spray, and where should you not? WEED-IT is designed to make that distinction as directly as possible. It does so using a technique that has proven itself in the field for many years, without relying on complex software or external systems.
This choice for precision spraying without AI is therefore not a limitation, but a deliberate way to maintain control and consistency under varying conditions. In the development of spot spraying technology, the focus is on direct detection and immediate action.
The operation of WEED-IT is based on a simple principle. Instead of analyzing images, the sensors directly measure the presence of living chlorophyll. The system does not look at shape or interpretation, but at a physical property of plants: whether they are alive.
While driving, the soil is continuously scanned. As soon as living green is detected, the correct nozzle is activated immediately. This happens without any noticeable delay.
Within the broader range of precision spraying solutions, this way of working provides a stable foundation. In combination with systems such as WEED-IT DASH, the operation remains clear and easy to monitor.
Because detection and action are directly linked, the system remains fast and consistent.
Many precision spraying systems rely on AI and RGB cameras for image recognition. In these systems, a plant must first be visually captured and then analyzed and identified by software. This process requires time, data, and computing power, and can be sensitive to variations in light, soil, crop, or season.
WEED-IT works differently. By directly detecting living chlorophyll, image recognition is completely bypassed. The system simply determines whether green is present where it should not be. As a result, performance remains fast and consistent, regardless of changing conditions.
Because WEED-IT does not rely on cameras or complex software, the system remains relatively simple. This is especially noticeable in day-to-day use.
Fewer settings are required, and there is less maintenance on complex components. This reduces the risk of malfunctions and makes the system easier to deploy under varying conditions. Across different spraying modes, operation remains logical and easy to understand.
Even when combined with applications such as dual spraying, the principle remains the same: a system that does what it needs to do without unnecessary complexity.
Precision spraying requires speed and consistency, especially at higher driving speeds. With WEED-IT, the principle is clear:
Green = spray
That direct link makes the system predictable and transparent. Users know exactly what the system does and when.
The benefits of precision spraying without AI become especially clear in practice. Because spraying only takes place where weeds are actually present, chemical usage can be significantly reduced. This makes spot spraying not only more efficient, but also cost-effective.
The difference lies in the method of detection. Systems that use AI and RGB cameras analyze images to determine which plant they are dealing with and whether spraying is required. This enables targeted application, but also requires time and computing power: a plant must first be seen, then identified, and finally assessed.
WEED-IT skips these steps. By directly measuring living chlorophyll, the system simply determines whether green is present—and therefore whether action is needed. Detection and spraying are directly linked, allowing the system to respond faster and maintain high field capacity.
An additional advantage is that this approach is independent of ambient light conditions. Because WEED-IT uses its own light source and does not rely on cameras, performance remains consistent both day and night, without the need for external lighting.
In practice, users apply WEED-IT to:
In addition, the simplicity of the system ensures that operation and deployment remain clear and manageable. Users deal with fewer complex settings or variables, making the system practical and reliable for everyday use.
The impact is often reflected in overall farm operations. Savings and efficiency gains can be made visible, for example through an ROI calculation.
Although AI does not play a role in the spraying process itself, data is still used to improve insights. All field data collected is made accessible through the portal.
After a spraying operation, users gain insight into weed pressure across the field, for example. This data supports better decision-making for future applications and helps further optimize the cultivation process. In this way, WEED-IT combines fast weed control with data-driven insights.
For farmers and contractors, precision spraying without AI mainly means that the system does what you expect it to do. It performs reliably under different conditions and requires little extra attention during use.
This translates into an efficient way of working, less dependency on external factors, and greater control over costs. Because the system is predictable, it is easier to plan with and rely on. This practical approach also aligns well within the broader organization, including distribution and support.
