Climate-Based Modeling and Prediction of Rice Gall Midge Populations Using Count Time Series and Machine Learning Approaches

Climate-Based Modeling and Prediction of Rice Gall Midge Populations Using Count Time Series and Machine Learning Approaches

The Asian rice gall midge (<i>Orseolia oryzae</i> (Wood-Mason)) is a major insect pest in rice cultivation. Therefore, development of a reliable system for the timely prediction of this insect would be a valuable tool in pest management. In this study, occurring between the period from 2...

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Bibliographic Details
Main Authors: Santosha Rathod, Sridhar Yerram, Prawin Arya, Gururaj Katti, Jhansi Rani, Ayyagari Phani Padmakumari, Nethi Somasekhar, Chintalapati Padmavathi, Gabrijel Ondrasek, Srinivasan Amudan, Seetalam Malathi, Nalla Mallikarjuna Rao, Kolandhaivelu Karthikeyan, Nemichand Mandawi, Pitchiahpillai Muthuraman, Raman Meenakshi Sundaram
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Agronomy
Subjects:
rice gall midge
light trap catches
climatological parameters
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Online Access:https://www.mdpi.com/2073-4395/12/1/22

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https://www.mdpi.com/2073-4395/12/1/22

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