INVESTIGACIÓN

@article{Moreno-Ramos2017,

title = {COMPUTATION OF SUBOPTIMAL TEMPERATURE TRAJECTORIES WITH MONTE CARLO METHOD TO MAXIMIZE TOMATO (Solanum lycopersicum L.) PRODUCTION IN GREENHOUSE},

author = {Moreno-Ramos, E. and Morales-Diaz, America B. and Juarez-Maldonado, A. and De Alba-Romenus, K. and Benavides-Mendoza, A.},

editor = {COLEGIO POSTGRADUADOS},

issn = {1405-3195},

year  = {2017},

date = {2017-10-01},

journal = {Agrociencia},

volume = {51},

number = {7},

pages = {1-18},

abstract = {The objective of this study was to obtain a suboptimal temperature trajectory to maximize fresh weight (W_F) and harvested fruit weight (W_HF) of tomato (Solanum lycopersicum L.) using the Monte Carlo method. To achieve this objective, we posed a problem of dynamic optimization based on a non-linear dynamic crop growth model under greenhouse conditions. In the solution of this problem temperature restrictions are used in the range of 15 ºC to 30 ºC, which represents the mean temperature range during the day in the city of Saltillo. Optimization is done considering prediction horizons of 15 min in an interval of 120 d after transplant (dat) and using a dynamic mathematical tomato (Solanum lycopersicum L.) growth model evaluated in a chapel-type greenhouse in Saltillo, Coahuila (〖25〗^0 〖25〗^' 〖36〗^'' N, 〖100〗^0 59'44''W). The suboptimal temperature trajectory that maximizes fruit weight (W_F) was determined for the entire simulation time interval (0 to 120 dat). Moreover, the suboptimal temperature trajectory that maximized fruit weight (W_F) during pre-harvest (0 to 58 dat) and harvested fruit (W_HF) as of the beginning of harvest (day 59), described by the model until the end of simulation (120 dat). The results obtained show that the suboptimal temperature trajectory from day 59, which marks the beginning of harvest, was established around 15 ºC to maximize W_F and around 30 ºC for maximization of〖 W〗_F and W_HF. It could also be observed that the suboptimal temperature trajectory for both cases shows periods that emulate day and night, 15 ºC to 30 ºC, before day 59. The results obtained permit us to propose conditions for either maximizing fruit on the plant or harvested fruit, and the resulting temperature trajectories can be used to obtain a softened curve with more stable cycles that can be put into practice. },

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Moreno-Ramos2017,

title = {COMPUTATION OF SUBOPTIMAL TEMPERATURE TRAJECTORIES WITH MONTE CARLO METHOD TO MAXIMIZE TOMATO (Solanum lycopersicum L.) PRODUCTION IN GREENHOUSE},

author = {Moreno-Ramos, E. and Morales-Diaz, America B. and Juarez-Maldonado, A. and De Alba-Romenus, K. and Benavides-Mendoza, A.},

editor = {COLEGIO POSTGRADUADOS},

issn = {1405-3195},

year  = {2017},

date = {2017-10-01},

journal = {Agrociencia},

volume = {51},

number = {7},

pages = {1-18},

abstract = {The objective of this study was to obtain a suboptimal temperature trajectory to maximize fresh weight (W_F) and harvested fruit weight (W_HF) of tomato (Solanum lycopersicum L.) using the Monte Carlo method. To achieve this objective, we posed a problem of dynamic optimization based on a non-linear dynamic crop growth model under greenhouse conditions. In the solution of this problem temperature restrictions are used in the range of 15 ºC to 30 ºC, which represents the mean temperature range during the day in the city of Saltillo. Optimization is done considering prediction horizons of 15 min in an interval of 120 d after transplant (dat) and using a dynamic mathematical tomato (Solanum lycopersicum L.) growth model evaluated in a chapel-type greenhouse in Saltillo, Coahuila (〖25〗^0 〖25〗^' 〖36〗^'' N, 〖100〗^0 59'44''W). The suboptimal temperature trajectory that maximizes fruit weight (W_F) was determined for the entire simulation time interval (0 to 120 dat). Moreover, the suboptimal temperature trajectory that maximized fruit weight (W_F) during pre-harvest (0 to 58 dat) and harvested fruit (W_HF) as of the beginning of harvest (day 59), described by the model until the end of simulation (120 dat). The results obtained show that the suboptimal temperature trajectory from day 59, which marks the beginning of harvest, was established around 15 ºC to maximize W_F and around 30 ºC for maximization of〖 W〗_F and W_HF. It could also be observed that the suboptimal temperature trajectory for both cases shows periods that emulate day and night, 15 ºC to 30 ºC, before day 59. The results obtained permit us to propose conditions for either maximizing fruit on the plant or harvested fruit, and the resulting temperature trajectories can be used to obtain a softened curve with more stable cycles that can be put into practice. },

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}