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Segundo,Alan K. Rêgo; Martins,José H.; Monteiro,Paulo M. de B.; Oliveira,Rrubens A. de; Oliveira Filho,Delly. |
The irrigation management based on the monitoring of the soil water content allows for the minimization of the amount of water applied, making its use more efficient. Taking into account these aspects, in this work, a sensor for measuring the soil water content was developed to allow real time automation of irrigation systems. This way, problems affecting crop yielding such as irregularities in the time to turn on or turn off the pump, and excess or deficit of water can be solved. To develop the sensors were used stainless steel rods, resin, and insulating varnish. The sensors measuring circuit was based on a microcontroller, which gives its output signal in the digital format. The sensors were calibrated using soil of the type Quartzarenic Neosoil. A... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Process control; Control system; Irrigation system. |
Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000200006 |
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Bagheri, Nikrooz -. |
To evaluate the performance of a variable rate boom sprayer, an artificial neural network (ANN) was employed. To model output flow of nozzles, 727 nets by four neural net models, namely, linear, MLP, RBF and GRNN were tested. For each nozzle, 45, 22 and 23 experimental data were used for train, verification and test, respectively. The results indicated that RBF model was selected as the best by regression ratio of 0.198 and R2 of 0.98. To investigate the capability of RBF model in prediction of nozzles flow, statistical analysis was used. Based on the results, average value of R2 for statistical and RBF models were 0.98 and 0.99, respectively. So, the average value of CV for RBF and statistical models were 18.96% and 19.05%, respectively. From the results,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Mechanics of agricultural engineering ANN; Control system; Precision agriculture; Sprayer; VRA.. |
Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2861 |
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