Implementation of paddy drying technology: Introducing small/medium paddy dryers in remote areas
Date Issued
Date Online
Language
Type
Review Status
Access Rights
Usage Rights
Metadata
Full item pageCitation
Alam, Md. Monjurul; Kalita, Prasanta Kumar; Saha, Chayan Kumer; Sarkar, Surajit; and Winter-Nelson, Alex. 2024. Implementation of paddy drying technology: Introducing small/medium paddy dryers in remote areas. IFPRP Working Paper 17. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/149089
Permanent link to cite or share this item
External link to download this item
DOI
Abstract/Description
Grain drying has become increasingly challenging for the Bangladesh food system as postharvest innovations have not kept pace with production growth and an increasing volume of grain is harvested during wet or foggy periods, when conventional open-air drying is problematic. This activity sought to build capacity for mechanical dryer service provision by small-scale entrepreneurs and to demonstrate a model for providing mobile grain drying services through entrepreneurs using a locally manufactured small-scale dryer. In coordination with Ministry of Food officials, the project selected 20 farmers to train as mechanized drying service providers, provided them with use of small-scale mobile batch dryers, and deployed them in rural areas from which Local Supply Depots (LSDs) source grain. The service providers were active in Bogura and Rangpur Districts in late May 2023, during the closing phases of the Boro harvest season. The pilot revealed nuances of the costs of operation and indicated potential for viable business activities, especially in areas where open-air drying is relatively costly or inadequately available. Additionally, a scoping visit to Naogaon District revealed significant interest in mechanized drying services. The findings suggest a value to additional observation of the service providers to document capacity utilization over an Aman season and a full Boro season. Such observations would allow confirmation about parameters related to annual capacity utilization which are important determinants of business viability