Crop monitoring

Measuring to decide

Much of what an agronomist decides turns on variables the eye cannot measure: the leaf wetness that opens the door to fungal infection, the vapour pressure deficit (VPD) that governs disease pressure and physiological disorders, the soil moisture that tells you when and how much to irrigate, the rainfall that triggers epidemiological models. Recording these data continuously, at the right point, means giving up intervention by habit and beginning to intervene on the basis of evidence.

Monitoring is not an end in itself: it is what makes it possible to treat only when necessary, to match the water to the plant’s real need, to anticipate a threat instead of chasing it. Every treatment avoided is budget saved and residue reduced; every treatment made at the right moment is yield protected.

From data to decision

Sensors and forecasting models (DSS) produce numbers and alerts, not decisions. An alert is a hypothesis to be checked, not a verdict: the crop’s phenology, the field’s history, the presence of natural antagonists, the real picture read with a hand lens can confirm or overturn it. My work is exactly this step — reading the data and the model, validating it with a site visit, and translating it into an operational decision anchored to integrated pest management thresholds and production disciplinaries.

Here my role is technical and independent: I do not sell or install sensors, I have no commercial ties to technology manufacturers, I do not recommend brands. I choose with you the tool that fits the problem — or tell you when none is needed — and I stay on the side of your field, not the supplier’s. It is a matter of professional ethics before it is a matter of method.

Sensors, models, automation

Field technology is ground I genuinely know: wireless sensor networks, agro-weather stations, epidemiological models, data integration in a GIS environment, automation of irrigation and fertigation. This lets me design monitoring that makes agronomic sense — what to measure, where, at what density, and above all how to make the data talk to each other — instead of filling a field with devices no one reads.

The design is always built on the case: a protected crop and a hillside vineyard have different measurement needs, and the same station is worth little if placement and interpretation are wrong. Technology is powerful when it serves a precise agronomic question; on its own, it is just a cost.

Precision agriculture and grants

Sensors, precision software and monitoring systems are eligible expenditure under the investment measures of the Campania CSR and under the agriculture 4.0 instruments. The windows open and close, and not everything is financed in the same way: identifying the right measure at the right time, and structuring the application so that it holds up, is part of the work. I keep an eye on the useful calls and, when it makes sense, I build and submit the application — the same thing I do for agricultural consultancy.

How I work

Every consultancy starts by framing the real case: which crop you grow, which threats weigh on you, what you need to decide and under what constraints. From there I design the monitoring — variables, measurement points, models to activate — and define how the data becomes a decision: the periodic reading, the field check, the operational recommendation. Depending on the assignment, the client receives the monitoring plan, the continuous interpretation of the data with seasonal technical guidelines, and — where it makes sense — support on any grant. The aim is always the same: to decide better, with fewer interventions and more evidence behind them.

Frequently asked questions

What is precision agriculture?

It is a way of managing the crop based on measurement: using sensors and models to record the variables that matter — leaf wetness, air temperature and humidity, soil moisture, rainfall — in order to intervene at the right place and the right time, rather than by calendar. The value lies in the agronomic interpretation of the data, not in the device itself.

Do you sell or install the sensors?

No. As a matter of professional ethics I do not sell, install or recommend products or brands: my role is independent. I design the monitoring, interpret the data and the models, check them in the field and translate them into decisions, choosing the right solution with you — or telling you when none is needed.

Does it only make sense on large areas?

No. What is at stake matters more than the size: a high-value protected crop, a vineyard exposed to downy and powdery mildew, an orchard under pressure from physiological disorders all benefit from monitoring even on modest surfaces. The design is scaled to the case.

Which crops benefit from monitoring?

Above all those where crop protection and irrigation weigh on the result: vine, open-field and protected vegetables, strawberry, orchard. Forecasting models are particularly effective against fungal diseases (downy mildew, powdery mildew, botrytis) and in water management.

Can monitoring systems be financed by grants?

In certain periods, yes: sensors and precision software are among the eligible costs of the Campania CSR investment measures and the agriculture 4.0 instruments. Availability depends on the open windows; I identify the right measure and prepare the application when there is one.