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Massachusetts Institute of Technology

The Good Grains Project

Abstract

dc:description.abstract

Foodgrains (like wheat, peanuts, etc.) gain moisture when they are stored, which leads to variation in weight and deterioration in quality. These commodities are sold by weight in India, and therefore, variable weight directly impacts the economic value of the produce. In addition, the quality of foodgrains is tightly coupled to their moisture content. For instance, if the moisture content of wheat is higher than 12%, it is not purchased by the local agriculture markets at the market price. Such produce is either rejected (sent back to the farmer for drying) or purchased at a much lower (discounted) price owing to the quality depreciation because of high moisture content. The depreciation is due to the presence of unwanted moisture, which results in growth of fungi. Fungal interaction with foodgrains leads to formation of Aflatoxin, which is one of the most toxic and carcinogenic substances known. Current solutions for detecting aflatoxin or uncontrolled moisture are either time consuming and expensive lab tests, or inefficient mechanisms based on unreliable sampling, which are inaccessible to farmers, warehouse managers and consumers, and provide a poor generalisation of the grain quality at the best. I have attempted to develop an easy to use and low-cost product that helps detect the presence of uncontrolled moisture in foodgrains, which is closely correlated to the presence of Aflatoxin. The product comes in the form of a smart RFID sensor, embedded in each of the gunny bags that store commodities like wheat, rice, etc. While a usual RFID tag only detects the presence of an object, the innovation here lies in creating an RFID tag that also responds to the moisture content of the commodity in the bag. This product can be a path-breaking innovation for warehousing corporations in India, as it will help keep a track of quality of millions of tonnes of food commodities, at a much deeper level in the supply chain.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering and Management Program
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sharma, Nidhi,S.M.Massachusetts Institute of Technology.
Advisor dc:contributor.advisor
  • Sanjay Emani Sarma.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/122565
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/122565

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sharma, Nidhi,S.M.Massachusetts Institute of Technology.. The Good Grains Project. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122565