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Impacts of Horticultural Innovations in Southern Bangladesh Data

Metadata Updated: July 8, 2021

  1. Floating gardens: Our floating gardens were designed to be installed in a fishponds/household ponds. The objective of this technology was to support farmers who did not have suitable land to produce vegetables. During site selection, we interviewed a number of beneficiaries and chose 36 households among them based on their enthusiasm, feasibility of the pond to accommodate the floating garden and over all their commitments to collect and provide us with floating garden related data. Each beneficiary was responsible for collecting his/her own dataset. We had designated 1 beneficiaries for each 12 floating gardens who would gathered the data weekly from the other beneficiaries and provided the team with the data once a month. Additionally, our team used to visit the sites when necessary.

The following data were collected: I. Name of crops II. Sowing time III. Seed price IV. Germination time V. Harvesting time VI. Amount of harvest VII. Market price of the harvest VIII. Frequency of manure / pesticide (non-chemical) application IX. Price and amount of manure/chemical X. Maintenance cost

  1. Solar chimney dryer: Solar chimney dryer sites were selected by visiting the potential sites followed by subsequent interviews with the beneficiaries. The general selection criteria were; an open space that receives the maximum sunlight time, willingness of host household to share the dryer with other households (12 household used to share one chimney dryer), enthusiasm of the group towards the new technology and necessity of such technology, beneficiaries' agricultural practices and their commitment to collect and share the technology related data with us. Each beneficiary was responsible for collecting his own data set. One designated person for each chimney dryer who would gather the data and had provided them to the team monthly. The following data were collected:

I. Name of drying item II. Fresh weight and price of the drying item III. Dry weight and price of dried item IV. Drying time V. Temperature during drying VI. RH (%) during drying VII. Maintenance cost
VIII. Frequency of using the technology

  1. CoolBot regulated cool room:
    Cold room sites were selected by visiting the potential sites followed by subsequent interviews with the beneficiaries. Each site was chosen based on the necessity of the technology, agricultural practices of the beneficiaries, access to nearby market, access to maximum beneficiaries, access to electricity, host beneficiary's willingness to provide land (free of cost) for building the technology and willingness to share it with other beneficiaries (one cold room for 12 beneficiaries), commitment to take care the cool room, collect data and share with us. Each beneficiary was responsible for collecting his/her own dataset. One designated person for each cold room was gathering the data and provided the to the team monthly. The following data were collected:

I. Name of stored crop II. Market price before storing III. Market price after storing IV. Storage duration (entry and exit date) V. Storage temp VI. Storage RH (%) VII. Spoilage amount VIII. Power usage (electricity and fuel) IX. Maintenance cost

All the collected data were finally, formatted for input into the Land Use System (LUS) for cost-benefit analysis for each technology so as to measure the economic impact of the each technology to its beneficiaries.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Collection

This dataset is part of the following collection:

Downloads & Resources

Dates

Metadata Created Date March 18, 2021
Metadata Updated Date July 8, 2021

Metadata Source

Harvested from USAID JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date March 18, 2021
Metadata Updated Date July 8, 2021
Publisher USAID
Maintainer
Identifier https://data.usaid.gov/api/views/4ug7-v2t5
Data First Published 2019-09-24
Data Last Modified 2019-09-23
Category Agriculture
Public Access Level public
Bureau Code 184:15
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.usaid.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Collection Package Id f95b8de4-9334-4228-9d23-e9e638f65ebe
Harvest Object Id a23216e4-0a6f-43ee-a5f3-d9c16b373fe6
Harvest Source Id 0aeddf52-9cb0-4ab6-bc1f-b53172fe5348
Harvest Source Title USAID JSON
Homepage URL https://data.usaid.gov/d/4ug7-v2t5
Program Code 184:029
Source Datajson Identifier True
Source Hash d66d283c3cf890fce5c1841db2bb5ee09e4bfdbc
Source Schema Version 1.1

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