000 | 00904nam a2200241 i 4500 | ||
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001 | 94997 | ||
003 | MX-SnUAN | ||
005 | 20160429144214.0 | ||
008 | 120403s1992 us a f o000 eng d | ||
035 | _avtls000061538 | ||
039 | 9 |
_a201406141246 _bVLOAD _c201406061429 _dVLOAD _c201303162328 _dVLOAD _c201204031543 _dVLOAD _y201105171907 _zVLOAD |
|
040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
||
050 | 1 | 4 |
_aS494.5.I58 _bG7 1992 |
245 | 0 | 0 |
_aGRAMI _ba crop growth model that can use remotely sensed information |
264 | 1 |
_a[Washington, DC] _bUnited States Department of Agriculture _c1992 |
|
300 |
_a78 páginas : _bilustraciones |
||
336 |
_atexto _btxt _2rdacontent |
||
337 |
_ano mediado _bn _2rdamedia |
||
338 |
_avolumen _bnc _2rdacarrier |
||
650 | 4 |
_aAgricultura _xInnovaciones _957507 |
|
710 | 1 | 2 |
_aEstados Unidos. _bDepartment of Agriculture. _bAgricultural Research Service. _987852 |
942 | _c1 | ||
999 |
_c94997 _d94997 |