°AHoRa: Application for family farming of musaceae

Code:
ATN/RF-17245-RG(RG-T3387)-3
Initiative:
Call for Proposals
FONTAGRO Amount:
USD 200.000
Counterpart Amount:
USD 462.490
Execution time
24 Months
Total Amount:
USD 662.490
Participating countries:
Colombia Colombia Dominican Republic Dominican Republic Peru Peru
Funding source:
FONTAGRO Amount 30% Other agencies 0% Counterpart Amount 70%

Executive Summary

Latin America and the Caribbean provide around 80% of all banana and plantain sales in the world, which represents more than 16 million tons of fruit. Much of the production is in the hands of small farmers whose income barely allows them to support the production of their small farms. The sustainability of production is at risk in the face of an increasing frequency of climatic events such as cold and heat waves, out-of-season droughts and excessive rains that delay or advance the productive rhythm. The objective of this project is to develop a low-cost digital platform, that captures and analyzes cimatic data, to reduces the vulnerability of small producers to climate events and supports decision-making to carry out efficient, resilient agronomic management, which generate an increase in productivity and reduction of losses caused by physiological defects caused by delays in the growth, flowering and harvesting of the fruit.

The technological solution

A computer platform, available on the web, with mobile applications that converts local climate data into projections of growth, flowering and harvesting of bananas together with a business model in order to support the operation of the application called ° AHoRa.

Results

During the first year of the project execution, the results obtained focus on delivering the six (6) products or deliverables corresponding to component 1. Product 1. A technical workshop was held using a participatory methodology involving teams formed by the executing entities and the International Volunteer Advisor Committee (CAVI, for its acronym in Spanish). The workshop was developed in three sessions. In the last session, the CAVI presented a first approach of possible indicators to convert data from weather stations into banana growth parameters. Product 2: A technical note was elaborated containing the design of the calculation platform of the App, which is based on meteorological and abiotic data to predict and/or estimate the potential leaf emission rate, the average flowering time to harvest by calculating the degree-days, potential bunch weight, nutrient extraction quantification by the crop, and estimating the water needs of the crop in the banana-producing regions of Colombia, the Dominican Republic, and Peru. Product 3: The three countries developed their own model based on the CANVAS methodology, considering their contexts, realities of the productive sector, actors, and possible allies. This allowed establishing the necessary elements to adjust a definitive and integrative model for the °AHoRa project with the nine segments of the CANVAS model, which was presented as a monograph. Product 4: A technical note was prepared, including a baseline on production, monitoring methods for crop behavior in the three countries, and the use of similar Apps on the market. In this regard, surveys were carried out among producers and technicians in the participating countries to collect primary information, map the relevant actors and characterize the banana production systems. A scientific surveillance exercise was also carried out to identify research trends in the global environment related to Apps (models, software) for predicting crop yields using climate information. Product 5: The kick-off project workshop was held virtually to socialize its scope with producers and associations from different banana and plantain producing areas of Colombia, Peru, and the Dominican Republic. Product 6: A monograph on the technical design of the App was developed. It details the steps or processes that were followed to generate the °AHoRa application, including 1. Data collection through weather stations; 2. Upload, process, and store in the cloud the data collected from different weather stations; 3. Application of algorithms or calculations to the data to generate the information that the producers require; 4. Provide this information to a computer device (computer or mobile phone). All the steps mentioned are automatic, avoiding any manual intervention in this process.

Beneficiaries

The main beneficiaries of the project will be producers, associations, technicians, and researchers who belong to the banana-producing areas located in Colombia, Peru, and the Dominican Republic. Thus, the intention is to benefit about 8,500 producers, 81 banana associations, 311 field technicians, and 42 researchers who will be able to use the App generated in the project. As for indirect beneficiaries, it is expected that they will be the public and private institutions of the participating countries that will benefit from the data analysis, inputs and services suppliers, traders and exporters, and final consumers.

Sustainable Development Goals

No poverty Zero Hunger Climate action Partnerships for the goals

Main donors

Project news

Participating Organizations

Executor
  • Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA) - Colombia
Co-executor
  • Instituto Dominicano de Investigaciones Agropecuarias y Forestales (IDIAF) - República Dominicana
  • Instituto Nacional de Innovación Agraria (INIA) - Perú
  • Universidad de Piura (UDEP) - Perú
Associated
  • Asociación de Bananos Ecológicos de la Línea Noroeste – Banelino (BANELINO) - República Dominicana
  • Dirección Regional de Agricultura de Piura (DRAP) - Perú
  • AGROSOFT S.A (AGROSOFT) - Perú
  • Cooperativa Agraria APBOSMAM (APBOSMAM) - Perú
  • Asociación de Productores de Banano Orgánico Valle del Chira (AVACH) - Perú
  • Asociación de Bananeros del Magdalena y la Guajira (ASBAMA) - Colombia
  • Universidad Tecnológica de Santiago (UTESA) - República Dominicana

Graphics and data

Financing by country (in USD)
FONTAGRO Amount Other agencies Counterpart Amount

Geolocated Map

Sponsors
BID
IICA
With the support of
Fondo Coreano de Alianza para el Conocimiento en Tecnología e Innovación (KPK)