| 000 | 00832nam a22002057a 4500 | ||
|---|---|---|---|
| 999 |
_c213117 _d213117 |
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| 005 | 20240731110648.0 | ||
| 008 | 240726b ||||| |||| 00| 0 eng d | ||
| 040 |
_aLC _cUNZA _dUNZA _eRDA |
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| 099 | _aTHESIS (PhD) HAL 2024 | ||
| 100 | _aHalubanza, Brian | ||
| 245 |
_aA framework for an early warning system for the management of the spread of locust invasion based on artificial intelligence technologies/ _cBrian Halubanza. |
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| 260 |
_aLusaka: _bThe University of Zambia, _c2024. |
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| 300 |
_axii, 114 pages [and various other pages] : _billustrations. |
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| 500 | _aThesis of Doctor of Philosophy (PhD) in Computer Science. | ||
| 504 | _aIncludes bibliographical references. | ||
| 650 |
_aLocusts _xControl. |
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| 650 | _aLocust Management. | ||
| 856 | _uhttps://dspace.unza.zm/handle/123456789/8802 | ||
| 942 | _cTHESIS | ||