Agricolae is a project in order to obtain the degree of
master in Systems Engineering in the National University of
Engineering in Lima-Peru (UNI in Spanish). These functions are
currently utilized by the International Potato Center Research
(CIP), the Universidad Nacional Agraria La Molina (UNALM-PERU),
and the Instituto Nacional de Investigacion Agricola
(INIA-PERU). It comprises the functionality of statistical
analysis into experimental designs applied specially for field
experiments in agriculture and plant breeding: Lattice,
factorial, complete and incomplete block, Latin Square, Greaco,
Alpha designs, Cyclic designs, comparison of multi-location
trials, comparison between treatments, resampling, simulation,
biodiversity indexes and consensus cluster.

Agricolae was presented on 28 August 2009 in the thesis "A
statistical analysis tool for agricultural research" to obtain
the degree of Master on science, mention Systems Engineering,
of the facultad de ingenieria industrial y de sistemas -
Universidad Nacional de Ingenieria, Lima-Peru (UNI), being
approved with the qualification of 18.14 in a scale from 0 to
20. The thesis includes a satisfaction survey of the library,
with an index quality of the software of 0.8 in scale of 0-1.
These functions are currently used by the International Potato
Center (CIP), the Universidad Nacional Agraria La Molina
(UNALM-PERU), and the Instituto Nacional de Innovacion Agraria
(INIA-PERU). It comprises the functionality of statistical
analysis into experimental designs applied specially in field
experiments in agriculture and plant breeding: Lattice,
factorial, complete and incomplete block, Latin Square, Graeco,
Alpha designs, Cyclic, split and strip plot designs, comparison
of multi-location trials, comparison between treatments,
resampling, simulation, biodiversity indexes and consensus
cluster.

Agricolae was presented on 28 August 2009 in the thesis "A
statistical analysis tool for agricultural research" to obtain
the degree of Master on science, mention Systems Engineering,
of the facultad de ingenieria industrial y de sistemas -
Universidad Nacional de Ingenieria, Lima-Peru (UNI), being
approved with the qualification of 18.14 in a scale from 0 to
20. The thesis includes a satisfaction survey of the library,
with an index quality of the software of 0.8 in scale of 0-1.
These functions are currently used by the International Potato
Center (CIP), the Universidad Nacional Agraria La Molina
(UNALM-PERU), and the Instituto Nacional de Innovacion Agraria
(INIA-PERU). It comprises the functionality of statistical
analysis into experimental designs applied specially in field
experiments in agriculture and plant breeding: Lattice,
factorial, complete and incomplete block, Latin Square, Graeco,
Alpha designs, Cyclic, augmented block, split and strip plot
designs, comparison of multi-location trials, comparison
between treatments, resampling, simulation, biodiversity
indexes and consensus cluster.