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Abstract
Aim: Helicoverpa
armigera, the gram pod borer, poses a significant threat to chickpea
production in India. This study aimed to understand the spatio-temporal
infestation patterns of H. armigera using ICT-based surveillance
across 28 districts in Maharashtra from 2018 to 2025, addressing how digital
tools can support pest management decisions.
Methodology: Pest infestation
data were collected through mobile-enabled scouting and analysed using
Inverse Distance Weighted (IDW) interpolation and Principal Component
Analysis (PCA). These tools help to identify spatial hotspots and temporal
trends in pest outbreaks.
Results: A major outbreak
was observed in 2019–20 with a peak relative abundance of 0.40 larvae m-1
row length followed by a steady decline to 0.04 larvae m-1 row
length in later years (2022–2025). Persistent hotspots were found in Latur,
Dharashiv and Solapur, whereas the northern and coastal districts showed
minimal pest presence. PCA identified 2019–20, 2020–21, and 2024–25 as the
years contributing most to pest variability.
Interpretation: This study
highlights the effectiveness of ICT-based pest surveillance in supporting
timely advisories and reducing pest infestation through targeted IPM
interventions. These findings emphasize the need for district-specific
monitoring and data-driven pest management strategies to ensure sustainable
chickpea production in vulnerable areas of Maharashtra.
Key
words:
Chickpea, H. armigera, ICT, Management, Maharashtra, Pest surveillance
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