Adoption and Compliance of AI-Enabled Pest Advisories: Evidence from the National Pest Surveillance System in Odisha, India


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Authors

  • Ashok Kumar Department of Agricultural Extension Education, MSSSoA, Centurion University of Technology & Management, Paralakhemundi, Odisha
  • Ajay Kumar Prusty Department of Agricultural Extension Education, MSSSoA, Centurion University of Technology & Management, Paralakhemundi, Odisha https://orcid.org/0000-0003-3670-802X
  • Akkamahadevi Naik Department of Agricultural Extension Education, MSSSoA, Centurion University of Technology & Management, Paralakhemundi, Odisha
  • P. Naveen Kumar Department of Agricultural Extension, College of Agriculture, Gangavati, UAS, Raichur, Karnataka
  • Pankaj Kumar Ojha Department of Agricultural Extension, Banda University of Agriculture & Technology, Banda (U.P.)
  • T. Mounika Department of Agricultural Entomology, MSSSoA, Centurion University of Technology & Management, Paralakhemundi, Odisha

https://doi.org/10.48165/IJEE.2025.61413

Keywords:

AI-based pest advisories, digital pest surveillance, integrated pest management, smallholder agriculture, AI in Agricultural Extension

Abstract

Artificial intelligence (AI)–enabled pest surveillance can bridge gaps between timely diagnosis and on-farm action in smallholder systems. This study assessed farmer exposure to and uptake of advisories from India’s newly launched NPSS in Odisha. An exploratory, cross-sectional inquiry was conducted during 2024–25 across 30 districts; one block and two villages per district were purposively selected based on NPSS use. Data were gathered from 1,422 participants through focus group discussions and personal interviews, and analysed. Paddy dominated the sample’s cropping pattern (66.17% of respondents), followed by brinjal (9.21%). Overall, 79.16% were receiving NPSS advisories; the platform issued 851 advisories during the study, with 418 acted upon (49.11% adherence). Adherence declined as pest severity increased, especially for brown planthopper (BPH) and yellow stem borer (YSB) in paddy from 47.73% (low severity) to 32.47% (high severity), and YSB showed a similar drop (about 45.95% to 10%). Qualitative insights indicate lower uptake when recommendations involve costlier or more complex chemical controls, suggesting a need for clearer messaging, phased options, and enhanced last-mile support. The findings highlight substantial reach but moderate compliance, underscoring opportunities to tailor NPSS advisories to farmers’ resource realities and to strengthen capacity-building for higher-severity scenarios.

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Submitted

22.08.2025

Published

30.09.2025

Data Availability Statement

The raw data set is available with the author and can be shared upon requirement.

How to Cite

Kumar, A., Prusty, A. K., Naik, A., Kumar, P. N., Ojha, P. K., & Mounika, T. (2025). Adoption and Compliance of AI-Enabled Pest Advisories: Evidence from the National Pest Surveillance System in Odisha, India. Indian Journal of Extension Education, 61(4), 78-83. https://doi.org/10.48165/IJEE.2025.61413
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