AGRICULTURE
Feasibility study for strengthening forecast-signals in agriculture through the development of innovative services in the framework of regional economic development
The purpose of this study is to identify, select and analyze international experiences for farm models and to establish an operational monitoring center, forecast-signaling systems and predictability model, plant diseases and pests, farm production, diseases and natural damages (frosts, floods, etc.) using a set of criteria and tools within the project “Strengthening forecast-signals in agriculture through the development of innovative services in the context of economic development regional.
Project
Tirana, Sept. 2021
Location
Albania
Client
Ministry of Agriculture and Rural Development
Expertise
Feasibility study for strengthening forecast-signals in agriculture through the development of innovative services in the framework of regional economic development.
Opportunity
The project aims to:
The analysis for the establishment of an information system that offers data processing and management in an easy and stable way, having continuous advice with specialists (agronomists and veterinarians) with in-depth knowledge in the treatment, prevention of diseases and the use of technologies agricultural in aid of farmers. Orientation and ensuring a sustainable development of agricultural plants and livestock in order to optimally increase production to better meet the needs of the country, minimize import and increase opportunities for export.
Our experts estimated that in order to contribute to the transformative growth of agriculture in Albania, one of the most important tasks is the modeling of farms and the inclusion of modern forecasting-signaling technologies, in terms of forecasting weather events in agriculture.
Solution
- methodology
- analysis and evaluation of similar international systems/ models/ practices/ policies as best practices of measurement and monitoring systems in the field.
- feasibility study for establishing the operational monitoring center
- analysis of the legal and institutional framework
- analysis for disease prediction models
- analysis for the prediction model of events with serious flows for agriculture
- evaluation survey report based on data obtained from questionnaires
Industry: Agriculture