The relationship between fruit Brix and the electrical conductivity (EC) of the nutrient solution was investigated under gradually increasing EC conditions to predict and control tomato fruit Brix in ...commercial greenhouses in Japan. Based on the three experiments, fruit Brix was significantly and highly correlated with the cumulative EC of the drainage during the period from anthesis to harvest (cECd). This relationship followed a linear regression function. We then modelled fruit Brix based on cECd and validated this model to predict and control fruit Brix in four other experiments in different growing seasons using two cultivars, slab substrates, and irrigation systems. Using this model, we calculated the target cECd (cECdt) to achieve a target fruit Brix of 6% or higher and used cECdt as an indicator to manipulate the EC of the nutrient solution. In the validation experiments, cECd was lower than cECdt at the beginning of harvest in all experiments. cECd reached cECdt at 72.3–214.0°C·day after the first harvest. When cECd was higher than cECdt, more than 86.9% of the fruit had a higher than Brix 6%. In addition, the marketable yield was higher than 88.2%. RMSEs between the observed fruit Brix and predicted fruit Brix were 0.60–1.25. These results indicate that our model can predict and control fruit Brix.
El trabajo de investigación se desarrolló en la Cooperativa de Créditos y Servicios Francisco Vicente Aguilera dedicada a la producción de caña de azúcar pertenecientes a la Complejo Agroindustrial ...“Arquímedes Colina, municipio Bayamo, provincia de Granma, con el objetivo de evaluar el efecto del Quitomax® sobre el cultivo de la caña. Se ejecutó un experimento en condiciones de campo sobre diseños completamente aleatorizado, entre los meses de Noviembre/2019 a septiembre/2020 en un período óptimo para el cultivo, Se utilizó la variedad de caña Cuba 8751, Los tratamientos evaluados fueron: Tratamiento 1: Aplicación de Quitomax®, Tratamiento 2: Tratamiento control, efectuándose las siguientes mediciones: Número de tallos por plantón, masa de los tallos: (kg), contenido de Brix inferior y superior % y rendimiento (t ha-1). Para el análisis estadístico se empleó una prueba de Kolmogorov–Smirnov para probar la normalidad de los datos y una prueba de Comparación múltiple de media por t-tudent para el 5 % de probabilidad del error con el Paquete Estadístico ESTATISTIC Versión 10 sobre Windows. Se observó tendencia a un incremento de las variables donde se aplicó Quitomax® y un incremento del rendimiento agrícola del 16,32 % y mejoramiento de la calidad de la caña de azúcar para la industria.
Acquisition of high quality colostrum is an important factor influencing neonatal calf health. Many methods have been used to assess the Ig concentration of colostrum; however, improved, validated ...evaluation tools are needed. The aims of this study were to evaluate both optical and digital Brix refractometer instruments for the measurement of Ig concentration of colostrum as compared with the gold standard radial immunodiffusion assay laboratory assessment and to determine the correlation between Ig measurements taken from fresh and frozen colostrum samples for both Brix refractometer instruments. This research was completed using 288 colostrum samples from 3 different farms. It was concluded that the optical and digital Brix refractometers were highly correlated for both fresh and frozen samples (r=0.98 and r=0.97, respectively). Correlation between both refractometer instruments for fresh and frozen samples and the gold standard radial immunodiffusion assay were determined to be very similar, with a correlation coefficient between 0.71 and 0.74. Both instruments exhibited excellent test characteristics, indicating an appropriate cut-off point of 22% Brix score for the identification of good quality colostrum.
The umbu is one of the most important fruits for the caatinga, considering its great potential of production in face of the imposed conditions and great potential of utilization, but nevertheless it ...is a very perishable postharvest fruit, it needs studies of its conservation. The different levels and postharvest states have differences that can be controlled and mitigated in their rapid loss of acidity and economic value. With the prospect of promoting the expansion of umbu supply and reducing losses due to the rapid advance of ripening after harvest, the aim of this study was to evaluate postharvest conservation of umbus harvested at different maturity stages under modified atmosphere by quality characteristics. A completely randomized design with five treatments and three replications (five different maturation stages) was used for the study. Each treatment had 25 fruits. From each stage, three fruits were randomly taken for physical and chemical characterization, analyzed at the beginning of the experiment, after 7, 14 and 21 days of storage. Physical characteristics in relation to fruits were: soluble weight, pH, and sugar expressed as ºBRIX. The temperatures of the trays and the interior of the refrigerator and humidity inside the refrigerator were also observed. Data were subjected to analysis of variance (ANOVA) and means were compared by Tukey test at 5% probability using the statistical program SISVAR (FERREIRA, 2011). There was no significant effect in relation to pH between the five stages of maturation. The fruits with the highest pH value were those with a predominant coloration of yellow, and the one with the lowest value were the completely green fruits. The value ranged from 3.08 to 2.72. Soluble solids were lower in a green stage umbus, and the highest value was found in all-yellow fruits. The pH values of umbu remain stable between the ripening stages, and the highest value is found when the fruit has its peel with the predominance of yellow. 2.There is little variation in soluble solids.
•A dataset of 1258 samples was used for the prediction of the harvesting period.•13 different Machine Learning algorithms were used to find the best.•The DSS would be helpful for farmers who could ...know the best period for harvesting.•Data used for the training of the model come from valid sources.•The predicted °Brix are almost identical to the actual °Brix.
Tomato is the second most important vegetable in the world, both in terms of production and consumption. Especially for the cultivation of industrial tomato, harvest is conducted when the total soluble solids, a major quality characteristic, are as high as possible. Advancements in technology have made Decision Support Systems simpler and more applicable in an everyday basis. Data Analysis, combined with Machine Learning algorithms are considered the future of sustainable agriculture, allowing farmers to be advised about the best possible decisions for their cultivation. Farmers need to adopt this kind of technology in order to be able to know when the quality of tomatoes is at its peak, in order to gather their product from the field. The implementation of a Decision Support System to predict the total soluble solids was conducted,based on data from previous years, including quality data (pH, Bostwick, L, a/b, Mean Weight, °Brix), the type of hybrid used, weather data and soil data from the fields. Data derived from fields in 6 different regions in the northwestern Peloponnese, Greece over 6 cultivation periods, created a dataset of 33 different inputs. Thirteen different algorithms were put into evaluation in order to find the best one in terms of speed and efficiency. In this research, we developed a Decision Support System using the K-nearest algorithm, which proved to be the best for our dataset. The predicted °Brix were following the same pattern as the actual °Brix. This means that the DSS could advise the farmer about the ideal harvesting period where the °Brix will be maximized. This DSS which is using real time weather data as an input is expected to be a valuable tool for the farmers.
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