An innovative two-stage, zero-inflated, hybrid count time series model for predicting rice yellow stem borer using weather parameters in hotspot locations of India

The Yellow Stem Borer (YSB) (Scirpophaga incertulas Walker) is a major pest in rice agroecosystems, and timely prediction of its occurrence is crucial for effective management. This study considered data from 2013 to 2023 from five YSB hotspot regions in India, namely Warangal, Rajendranagar, Pattam...

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Autors principals:	Bojjireddygari Nanda Kumar Reddy, Santosha Rathod, Yerram Sridhar, Supriya Kallakuri, Pramit Pandit, Bellamkonda Jyostna, Seetalam Malathi, R Shravan Kumar, Sanjay Sharma, K Karthikeyan, NRG Varma, Sitesh Chatterjee, Ayyagari Phani Padmakumari, Nethi Somasekhar, Sailaja Banda, Chintalapati Padmavathi, Chitra Shanker, Ponnuraj Jeyakumar, Raman Meenakshi Sundaram
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-12-01
Col·lecció:	Smart Agricultural Technology
Matèries:	Yellow stem borer Count time series Zero inflated models Two stage models INGARCH-ANN ZIPAR-ANN
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2772375525006124
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