Integrated Pest Management (IPM) Strategies in Grain Storage: A Case Study of Food Corporation of India (FCI), Hapur

Stored grain pests are a major cause of post-harvest losses in India, affecting both grain quality and food security. This study evaluates the effectiveness of Integrated Pest Management (IPM) strategies implemented at the Food Corporation of India (FCI) storage facility in Hapur, Uttar Pradesh. The research adopted a mixed-method case study approach using field observations, staff interviews, and analysis of storage conditions. Major pests identified included rice weevil (Sitophilus oryzae), lesser grain borer (Rhyzopertha dominica), and red flour beetle (Tribolium castaneum). Results showed that pest infestation levels were significantly lower in IPM-managed storage areas compared to uncontrolled storage conditions. Preventive measures such as sanitation, moisture control, scientific stacking, and regular monitoring reduced pest occurrence and improved grain preservation. Chemical control methods showed higher immediate effectiveness, while non-chemical methods provided safer but slower pest suppression. The study concludes that IPM is an effective and sustainable strategy for grain storage management, although improvements in monitoring systems, infrastructure, and staff training are still required. The findings support the adoption of integrated and environmentally safe pest management practices in large-scale grain storage systems.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-05-28
DOI
https://doi.org/10.64388/irev9i11-1718434
Primary Topic
Insect Pest Control Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Pest Management (IPM) Strategies in Grain Storage: A Case Study of Food Corporation of India (FCI), Hapur

Shivam Kumar Sagar, Dr. Mamta Verma
Iconic Research and Engineering Journals
Insect Pest Control Strategies
article

Integrated Pest Management (IPM) Strategies in Grain Storage: A Case Study of Food Corporation of India (FCI), Hapur

Shivam Kumar Sagar, Dr. Mamta Verma
article en

Abstract

Stored grain pests are a major cause of post-harvest losses in India, affecting both grain quality and food security. This study evaluates the effectiveness of Integrated Pest Management (IPM) strategies implemented at the Food Corporation of India (FCI) storage facility in Hapur, Uttar Pradesh. The research adopted a mixed-method case study approach using field observations, staff interviews, and analysis of storage conditions. Major pests identified included rice weevil (Sitophilus oryzae), lesser grain borer (Rhyzopertha dominica), and red flour beetle (Tribolium castaneum). Results showed that pest infestation levels were significantly lower in IPM-managed storage areas compared to uncontrolled storage conditions. Preventive measures such as sanitation, moisture control, scientific stacking, and regular monitoring reduced pest occurrence and improved grain preservation. Chemical control methods showed higher immediate effectiveness, while non-chemical methods provided safer but slower pest suppression. The study concludes that IPM is an effective and sustainable strategy for grain storage management, although improvements in monitoring systems, infrastructure, and staff training are still required. The findings support the adoption of integrated and environmentally safe pest management practices in large-scale grain storage systems.

Iconic Research and Engineering JournalsVol. 9(11)
Responsible consumption and production
Openalex Percentile: Top 7%
Insect Pest Control Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.