oscar 2013-11-08T11:35:24.3732970602022-12-19T09:18:49.956921256P1DT16H22M19S403LibreOffice/7.3.0.3$Linux_X86_64 LibreOffice_project/0f246aa12d0eee4a0f7adcefbf7c878fc2238db3 0 0 37717 8722 view1 1 8 2 0 0 0 0 0 180 60 false false INFORME 1775 0 180 60 false true true true 12632256 true true true true false false false 1000 1000 1 1 true false true true true 0 true true false true false es MX 12632256 true true false false true true false 3 false SAT23TUSE false 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 false 1000 1000 1 1 true false true true true true 7 true Sheet1 $ - $ - - - - - - - - - pta - pta - pta - - - - - $ ( $ ) $ $ - $ - $ $ - $ - - - . / / ( ) - $ ($ ) ( ) - $ $ ( ) $ - : : : : - - - - - - - - - - - de de - - . . / / : ??? Página 1 ???(???) 00/00/0000, 00:00:00 Page 1/ 99 company.rec_name CRONOGRAMA DE ACTIVIDADES POR CULTIVO FECHA: data['start_date'] data['week1'] data['week2'] data['week3'] data['week4'] data['week5'] data['week6'] data['week7'] data['week8'] data['week9'] data['week10'] data['week11'] data['week12'] data['week13'] data['week14'] data['week15'] data['week16'] CULTIVO VARIEDAD UBICACION NUM. DE PLANTAS data['day1'] data['day2'] data['day3'] data['day4'] data['day5'] data['day6'] data['day7'] data['day8'] data['day9'] data['day10'] data['day11'] data['day12'] data['day13'] data['day14'] data['day15'] data['day16'] for each='crop in records' crop['number'] crop['variety'] crop['location'] crop['plants'] for each="lot, beds in crop['lots']" lot beds /for for each="rec in crop['activities']" rec['activity1'] rec['activity2'] rec['activity3'] rec['activity4'] rec['activity5'] rec['activity6'] rec['activity7'] rec['activity8'] rec['activity9'] rec['activity10'] rec['activity11'] rec['activity12'] rec['activity13'] rec['activity14'] rec['activity15'] rec['activity16'] rec['day1'] rec['day2'] rec['day3'] rec['day4'] rec['day5'] rec['day6'] rec['day7'] rec['day8'] rec['day9'] rec['day10'] rec['day11'] rec['day12'] rec['day13'] rec['day14'] rec['day15'] rec['day16'] /for /for TIEMPO TOTAL data['total_day1'] data['total_day2'] data['total_day3'] data['total_day4'] data['total_day5'] data['total_day6'] data['total_day7'] data['total_day8'] data['total_day9'] data['total_day10'] data['total_day11'] data['total_day12'] data['total_day13'] data['total_day14'] data['total_day15'] data['total_day16'] Impresión: company.time_now()