Personalized decision support (DSS)

Forecasting models to support DSS decisions, personalized and trained to the specific variety and micro-climate (Vines, Olives, Apple, Corn, many other crops). We offer continuous training: we support you to train and calibrate DSS models year after year to your specific reality. After 2 years of coaching, you will become an expert user.

Phytosanitary models

The phytosanitary models simulate in real-time the risk of attack on your specific agricultural crop and allow you to monitor and predict the evolution of adversity every day by planning appropriate treatments and other defense actions in time. You will thus be able to intervene in the field at the ideal time by maximizing the effectiveness of defensive products and giving priority to agricultural lots with an early or higher risk.

Agronomic management models

Management models – such as the irrigation and fertilization models – allow you to simulate a specific aspect of agronomic management in real-time. You will be able to know in advance the sensitive moments of need and check any unexpected critical issues every day, maximizing the effectiveness of your actions and giving priority to agricultural lots with situations closer to the critical thresholds.

Primary and secondary infections with severity indexes

Downy mildew of the vine

Temporal evolution of the level of risk relating to primary infections, with identification of the different stages of evolution of the fungus: germination phase of the soil oospores (sporangia formation), release of the zoospores from the sporangia, dispersion of the zoospores on the leaves and on the branches of the vines, infection of the leaf blades by the zoospores (date of primary infection), incubation period (period of formation of oil spots on the leaves).

Dates of secondary infections, identified as starting dates of infectious sporulations.

Primary infections and disease risk / pressure index

Vine powdery mildew

Dates of primary infections, instants of the beginning of the germination of ascospores on the leaf page.
Temporal evolution of the epidemiological risk index of secondary infections (propagation of conidia) in the two phases of the disease: 1) Risk phase, preparatory phase for the development of secondary infection; 2) Treatment phase, post-infection phase, reports the temporal evolution of the propagation pressure of the disease on the vineyard (phase in which the phytosanitary treatments will have to be made).

Risk indices calculated on male and / or female catches

Olive fly

Input data requested from the user: the number of catches of males and/or females on a weekly basis (average figure of the different traps).

Output data: risk index for male catches and possibly an additional risk index for female catches; indication of the optimal moment for the different treatments.

The type of insertion implemented by the user (data relating to the catches of females and/or males) allows the generation of two equally valid alternative risk indices.

Monitoring of the water content of the crop land

Irrigation model

Based on the agronomic-cultural characteristics of the plot, selectable through the initial setting interface of the model, the DSS will carry out daily the specific water balance for the type of soil, the location, and the desired crop. The FAO (Irrigation and Drainage Paper No. 56) standard method is used, analyzing the terms entering and leaving the soil system and providing a series of useful information and related services:
Daily and long-term evapotranspiration (highly accurate calibrated value).
Soil water deficit relative to the field capacity (maximum water volume retained by the soil).
The residual water content that can be easily extracted from the crops (without undergoing stress conditions).
The terms of effective rain and capillary ascent.
automatic alarm system (SMS and/or Email) capable of alerting the user in real-time of the approach of the soil to the point of water stress.
The optimal volume of irrigation water for individual irrigation intervention.

Other models

(Vine, Olive, Apple, Corn, other crops)

Contact us without obligation and to evaluate further forecasting models for your specific problem on a particular crop. We have further models already validated and many others being released in the coming years.
The WiForAgri forecasting models are developed starting from university collaborations and research and development projects involving partner companies and pilot fields.
Corporate irrigation model
company fertilization of crops;
simulation of farm management
Apple scab (Venturia inaequalis)
Corn rootworm (Diabrotica virgifera),
Corn borer (Ostrinia nubilalis),
Moth and Moth of the vine (Eupoecilia ambiguella),
Scaphoid (Scaphoideus titanus),
Carpocapsa (Cydia pomonella).

Discover WiForAgri for free

Try our platform. Enter the future of agriculture now!

Register now on WiForAgri, locate your virtual agro-meteorological station, create your lot to monitor and use our free trial services for 6 months!

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