FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT

Abstract

The low quality of the water currently used for irrigation purposes harms the quality of the products and can lead to a reduction in production. Thus, the objective of this work was to verify the effect of saline water in irrigation water, on biometric variables of pumpkin crop using a system based on fuzzy rules. The agronomic experimental part of this work was carried out in a greenhouse. The experimental design was in randomized blocks, with 5 doses of salinity (0, 1.25, 2.5, 3.75, and 5 dS m -1 ) and with 5 repetitions. The salinity doses and evaluations carried out throughout the cycle (days after transplanting) were defined as input variables in the mathematical model. For the output variables, the collected biometric responses were defined: number of leaves, number of flowers, leaf fresh mass, leaf dry mass, stem fresh mass, stem length, root fresh mass, and root length. After evaluation, the mathematical model was developed and its validation was carried out using statistical methods and Receiver Operating Characteristic Curves (ROC). It was observed that salinity affects the bush pumpkin crop with a reduction in the evaluated parameters. The mathematical model proved to be efficient for this evaluation.

Fuzzy modeling of biometric variables development of tomato crop under irrigation and water salinity effects

“…Twelve (3 × 4) combinations between fuzzy sets of the two input variables were considered to obtain the rules base of the fuzzy system in both models. Thus, 12 pairs of the Irrigation × DAS form were created for Model 1 and 12 pairs of the Salinity × DAS form for Model 2, according to the methodology used by Viais Neto et al (2019a), and similar to those adopted by Cremasco, Gabriel Filho, and Cataneo (2010), Gabriel Filho, Cremasco, Putti, and Chacur (2011), Gabriel Filho, Pigatto, and Lourenzani (2015), Gabriel Filho et al (2016), Gabriel Filho, Silva Junior, Cremasco, Souza, and Putti (2022a), Gabriel Filho, Silva, Putti, and Cremasco (2022b), Pereira, Bighi, Gabriel Filho, and Cremasco (2008), Putti, Gabriel Filho, Silva, Ludwig, and Cremasco (2014), Putti et al (2017a), Putti, Kummer, Grassi Filho, Gabriel Filho, and Cremasco (2017b), Putti et al (2021), Putti, Cremasco, Silva Junior, and Gabriel Filho (2022), Martínez et al (2020), Matulovic, Putti, Cremasco, and Gabriel Filho (2021), Góes, Goes, Cremasco, and Gabriel Filho (2022), Boso, Cremasco, Putti, and Gabriel Filho (2021a), Boso, Cremasco, Putti, and Gabriel Filho (2021b), and Maziero, Chacur, .…”

Artificial Intelligence Techniques Applied to the Optimization of Micro-Irrigation Systems by the Zimmermann-Werner Method

“…Several fuzzy systems have been successfully applied in agricultural engineering, such as poultry production and industry companies (Pereira et al, 2019;Cremasco et al, 2010), cattle production (Gabriel Filho et al, 2011Filho et al, , 2016Maziero et al, 2022), irrigation engineering (Viais Neto et al, 2019a, 2019bPutti et al, 2017aPutti et al, , 2021Putti et al, , 2022Boso et al, 2021aBoso et al, , 2021bMatulovic et al, 2021;Gabriel Filho et al, 2022a, 2022b, optimization of agricultural implements (Góes et al, 2021), increased plant vitality (Putti et al, 2014(Putti et al, , 2017b, and market of agricultural products (Gabriel Filho et al, 2015;Martínez et al, 2020).…”