Richa Raj
Biographic Data
| ID | 6906661 |
|---|---|
| NAME | Richa Raj |
| GIVEN NAMES | Richa |
| FAMILY NAME | Raj |
| SIGNATURE | RAJ R |
| AFFILIATIONS | University of Delhi |
| ORCID | 0009-0006-6622-181X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting aflatoxin risk with seasonal meteorological forecast
Aflatoxin contamination in maize ( Zea mays ), primarily caused by Aspergillus flavus , is strongly influenced by meteorological conditions and remains a major food safety concern. Predictive models have been developed to support contamination risk assessment and management strategies, typically relying on meteorological data from local weather stations. While these inputs offer high accuracy, their limited spatial coverage and lack of forecastin…
A Pamphlet and its (Dis)contents
This article aims to study the communal tension generated by the publication of inflammatory literature by the extreme factions of two important religious groups in colonial Punjab, the Hindus and the Muslims. It would particularly examine the tension fuelled by the controversy surrounding the pamphlet entitled, Rangila Rasul, a product of the reformist zeal of an Arya Samajist, and attempts to gain political mileage from the controversy by the l…
No prominent works on this page.
A Pamphlet and its (Dis)contents
This article aims to study the communal tension generated by the publication of inflammatory literature by the extreme factions of two important religious groups in colonial Punjab, the Hindus and the Muslims. It would particularly examine the tension fuelled by the controversy surrounding the pamphlet entitled, Rangila Rasul, a product of the reformist zeal of an Arya Samajist, and attempts to gain political mileage from the controversy by the l…
Predicting aflatoxin risk with seasonal meteorological forecast
Aflatoxin contamination in maize ( Zea mays ), primarily caused by Aspergillus flavus , is strongly influenced by meteorological conditions and remains a major food safety concern. Predictive models have been developed to support contamination risk assessment and management strategies, typically relying on meteorological data from local weather stations. While these inputs offer high accuracy, their limited spatial coverage and lack of forecastin…
Aflatoxin (1 work) · Climate Forecast System (1 work) · Colonialism (1 work) · Contamination (1 work) · Decision support system (1 work) · Early warning system (1 work) · Forecast skill (1 work) · Government (linguistics (1 work) · History (1 work) · History (1 work)