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Modelado de algoritmos predictivos para predecir enfermedades y plagas en cosechas

Resumen

Tipo:
Demanda Tecnológica
Referencia:
TRIT20160406001
Publicado:
18/04/2016
Caducidad:
18/04/2017
Resumen:
Una pyme italiana especializada en internet de las cosas busca nuevos algoritmos predictivos de modelado para predecir, de la forma más precisa posible, enfermedades y plagas en cultivos, especialmente en cosechas. Estos nuevos algoritmos serán integrados en una plataforma web con un sistema de soporte a la decisión (DSS) para agricultura. Se trata de un sistema integrado de hardware-software que incluye una red de sensores para recoger y procesar datos ambientales de plantaciones, y una plataforma web que presenta la información al usuario final. El modelado permitirá ampliar el rango de enfermedades y plagas predecibles de cosechas futuras. La empresa busca socios con el fin de establecer acuerdos de licencia.

Details

Tittle:
Predictive algorithms modeling to forecast diseases and pests in crops plantations
Summary:
An italian SME operating in the Internet of Things market is looking for new predictive algorithms modeling to forecast, as accurately as possible, diseases and pests in cultivations, with a focus on crops. These new algorithms will be integrated in an already existent proprietary Decision Support System (DSS) web-platform for agriculture. The modeling shall allow to widen the range of predictable diseases and pests of further crops. The SME is looking for license agreement or partnership.
Description:
The company is a young and agile startup that aims to be disruptive in the Internet of Things market. Mixing creativity, design and advanced engineering, the company is developing innovative hardware and software solutions, meant to change radically the routines of established market leaders. The company is also committed to develop genuine multi-purpose products to improve people quality of life, inventing new ways of interaction with their environment. All the projects carried on are business and consumer oriented, and aim to make good technology available for everybody.
The company is developing an innovative Decision Support System (DSS), operating in the agriculture market. It is an integrated hardware-software system including a network of sensors that collect and process environmental data from plantations, and a web platform that display the information to the final user.
This is how the DSS works in details:

- it acquires parallel real time measurements of physical and chemical key factors about the surrounding environment by the mean of several sensors (for weather, soil, plant factors, air quality, lighting, and so on);

- it transfers wirelessly the acquired data to the proprietary web platform, deployed on a remote server, in order to provide all necessary data required by predictive algorithms (the data are processed through by predictive algorithms integrated in the platform, which will include the modeling here sought);

- it delivers to the end user information in real time, including the processed data and the results of predictive algorithms, providing a forecast accordingly.

The company is now looking for new predictive algorithms to integrate in its Decision Support System. The modeling sought should allow the prediction of diseases and pests that can affect the crops. The plantations include (but are not limited to) vegetables, cereals, fruits, vineyards and olive groves. The modeling shall be as accurate as possible, and allow elaborating a precise forecast of insurgent diseases and pests.
The company is open to start a partnership with the modeling provider, as well as purchase the modeling.
Technical Specification or Expertise Sought:
- the predictive algorithms modeling shall be able to provide a reliable forecast on diseases and pests that might affect crops plantations;

- the algorithms must have been tested both in labs and on the field;

- the quality of the modeling will be evaluated based on its accuracy: the prediction must be as precise as possible;

- the modeling should be open to future updates, in order to be kept up to date;

- The model should be able to predict, among the others, the following pathogens, fungus and water moulds: peronospora, alternariosis, rhizoctonia, fusarium, powdery mildew (erysiphales), cercospora, pleospora betae (phoma betae).

It should also include predictions for bacteria illnesses likexanthomonas campestris, pseudomonas cichorii and acidovorax valerianellae (gram-negative bacteria).

Partner sought

Type and Role of Partner Sought:
Type of partner sought: academy, research organization, sme or similar, able to provide reliable predictive algorithms

Specific area of activity of the partner: companies operating in agriculture and agronomists that have developed or can develop predictive modeling are an ideal fit;

The company aims at starting a partnership with the modeling provider, or acquiring the license of the requested modeling.

Client

Type and Size of Client:
Industry SME <= 10
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English
Italian
Spanish