Open AccessImproving efficiency of block-level agrometeorological advisory system by exploiting reuse: A study in Telangana
Author(s) -
Mamatha Alugubelly,
Krishna Reddy Polepalli,
Balajinaik Banoth,
G. Sreenivas,
Anirban Mondal,
S. Ninomiya
Publication year - 2021
Publication title -
journal of agrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 11
eISSN - 2583-2980
pISSN - 0972-1665
DOI - 10.54386/jam.v23i3.38
Subject(s) - reuse , block (permutation group theory) , meteorology , service (business) , environmental science , computer science , agricultural engineering , mathematics , geography , engineering , business , geometry , marketing , waste management
India Meteorological Department (IMD) has started block-level level agromet advisory (AA) service from the year 2015 and is currently operating in a few blocks of each state across India. In a block-level AA service, on every Tuesday and Friday, AA is being prepared for each block based on the block-level Medium Range weather Forecast (MRF). In this paper, we propose a framework to improve the preparation of blocklevel AA by modeling a weather situation as “Category-based Weather Condition (CWC)” and exploiting both “temporal reuse” and “spatial reuse” of AA based on the similarity among CWCs. The weather data analysis for 12 blocks of Telangana by considering the phenophase-specific CWCs of Rice crop showed that there is a scope to improve the efficiency of block-level AA bulletin preparation process by exploiting reuse.