Agrivate Spray Assist: Optimal Spray Windows Backed by Precise Data

A spray rarely fails because of the crop-protection product itself. Most of the time it fails because of the weather during or just after application: excessive evaporation, wind drift or unsuitable temperatures can waste an expensive treatment.

Agrivate introduces its new Spray Assist feature, a smart capability that combines advanced weather models with data from local stations to pinpoint the right spraying hours.

A 24-hour visual cycle: suitability at a glance

The app presents an intuitive 24-hour clock with colour coding, so you can plan your working window — for example a one-hour spray run — at a glance:

Green (suitable window): conditions are ideal for maximum uptake with no losses.

Yellow (you can spray): spraying is allowed, but some factors may slow uptake or reduce effectiveness.

Red (not recommended): prohibitive conditions, with a high risk of wash-off, evaporation or dispersal.

A three-stage check: before, during and after application

Effectiveness is not decided at the moment you spray alone. Agrivate splits the evaluation into three critical time windows:

Before application: confirms that the leaf surface is suitable.

During application: evaluates the instantaneous parameters while the tractor is in the field.

After application: checks whether rain or a sharp change is expected that would wash the product off before it can act.

The four variables Agrivate analyses

For every hour of the day the platform examines four fundamental parameters:

Temperature (°C): tracks uptake thresholds. At low temperatures, for example 8.9 °C, the app warns “Cool — product uptake may be slow”.

Wind (m/s and Beaufort): calculates speed and direction, for example 2 Bft / 3 m/s, to avoid drift of the spray cloud.

Rain (mm and %): records the probability and amount of rainfall to secure proper wetting.

Delta T (ΔT): the most critical index for professionals. It expresses the relationship between temperature and humidity; if it falls outside the ideal 2–8 °C range, Agrivate raises a warning immediately. At a ΔT of 0.9 °C the droplet dries slowly, raising the risk of phytotoxicity or fungal growth.

Local adaptation per weather station

The forecast is not based on generic, distant city models. It connects directly to the estate's local weather station (for example “Station: Olives”), taking your area's microclimate into account for greater accuracy.

How Spray Assist turns into profit

Lower costs: you do not waste expensive crop-protection products on hours when they will evaporate or wash off.

Crop protection: you avoid phytotoxicity caused by extreme Delta T values or high temperatures.

Time and fuel savings: you schedule tractor work only when conditions guarantee effectiveness.

Conclusion

Agrivate Spray Assist, part of the company's smart-farming platform, turns weather data into decisions: when to spray, in what order to schedule the work, and when to wait. Every application lands in the right window, with lower costs and better crop protection.