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001			67069
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040			_aMX-TxCIM
041			_aeng
100	1		_93345 _aAmjath Babu, T.S. _8001711956 _gSustainable Agrifood Systems
245	1	0	_aUser manual : _bHow to use Agvisely to generate climate service advisories for livestock in Bangladesh
260			_aDhaka (Bangladesh) : _bCIMMYT, _c2023.
300			_a18 pages
500			_aOpen Access
520			_aThe Agvisely digital service for livestock integrates location-specific meteorological forecasts generated by the Bangladesh Meteorological Department (BMD) with species specific biological thresholds for weather variables (Temperature, rainfall, and temperature-humidity index (THI). When a biological threshold is to be breached in next five days' forecast, the system automatically generates location-specific management advice for livestock farmers. Advisories are based on a decision tree developed by the Bangladesh Livestock Research Institute (BLRI) and CIMMYT. Agvisely is a smart phone app and web-based service developed by the International Maize and Wheat Improvement Center (CIMMYT) CIMMYT with the support of USAID, securing the Food Systems of Asian Mega- Deltas (AMD) for Climate and Livelihood Resilience and the Transforming Agrifood Systems in South Asia (TAFSSA) initiatives in collaboration with Bangladesh Dept. of Agricultural Extension (DAE) and Bangladesh Meteorological Department (BMD).
546			_aText in English
650		7	_aClimate services _2AGROVOC _928216
650		7	_aLivestock _2AGROVOC _91171
650		7	_aDigital technology _2AGROVOC _913847
651		7	_2AGROVOC _91424 _aBangladesh
700	1		_93518 _aKhanam, F.
700	1		_9906 _aKrupnik, T.J. _8INT3222 _gSustainable Agrifood Systems
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22917
942			_cGM _n0 _2ddc
999			_c67069 _d67061