An effective camera-based green-on-green setup pairs vision sensors with pulse width modulation and air-induction nozzles that keep a coarse to very coarse droplet across the normal pressure range. In row crops, that droplet class helps limit drift while still covering leaves, and it stays consistent as duty cycles change. To judge performance, run side-by-side passes at the same speed comparing broadcast and targeted application, then review as-applied maps for hit rate, false positives, and gallons per acre. Scale when the targeted pass shows a clear cut in treated acres with similar weed control confirmed by field checks one week later. Keep lenses clean, hold boom height steady, and update detection thresholds as the canopy and weed size change.
Camera-based green-on-green spot-spraying systems, such as the WeedSeeker(r) technology, are revolutionizing precision farming by minimizing herbicide use. Utilizing artificial intelligence and machine learning, these systems can distinguish between crops and weeds in real time, enabling targeted herbicide application only where needed. This approach not only enhances efficiency but also supports sustainable agricultural practices.
Recent advancements in precision agriculture, such as the GreenEye Technology system, enable farmers to reduce herbicide use while preserving crop yields. This camera-based setup features high-resolution cameras that scan fields to identify and target green weeds using artificial intelligence and color spectral analysis. When a weed is detected, the system activates nozzles to apply herbicides only to those specific plants, minimizing chemical use.