Strawberries have a relatively short postharvest life due to their quick softening and decay. When the supply chain is too far along to make logistical adjustments to meet shelf life, quality loss and shelf-life reduction often accelerates with rising temperature. The purpose of this study is to use kinetic modelling to explain how characteristics of strawberry quality vary while they are being stored. To measure the qualities of redness (a*), lightness (L*), chroma colour (C*), weight loss (WL), total soluble solids (TSS), titratable acidity (TA), and total phenolic content (TPC), fresh strawberries were obtained from a farm and stored for 8 days at 4°C and 10°C. The experimental results showed that strawberry quality characteristics stored at 10 °C had a strong and significant impact. After being stored at 10°C, the properties of redness (a*) and lightness (L*) quickly converted to darker zone. During storage at 10 °C, a significant rise in weight loss and chroma was seen with a less apparent decrease in L*. Zero-order and first-order models are used to characterize quality changes that occur during storage. The WL, TSS, and TA properties were best described by the zero-order model. On the contrary, the hue change was described by the first-order model. The results demonstrate that kinetic models fall short in their ability to characterize changes in TPC property during storage. In comparison to strawberries stored at 10°C, the strawberries stored at 4°C carried out the desired result of weight loss, colour change, and TA change.
The drying kinetics of banana slices were examined in a forced convection dryer using an infrared camera to monitor the temperature profile and drying kinetics under control conditions. The air temperature was tested at 40 °C, 50 °C, 60 °C, and 70 °C and the air velocity at 0.2 m/s, 0.5 m/s, and 0.75 m/s, with initial moisture contents of the banana ranging from 76–80% wet basis. The thicknesses of the banana slices being dried were 2, 4, 6, and 8 mm. The optimum drying conditions for the highest drying rate and best color were found to be a temperature of 70 °C, an air velocity of 0.75 m/s, a low relative humidity of 5 to 7%, and banana slices with a thickness of 2 mm. As the air temperature increased, the drying rate and shrinkage also increased. Shrinkage varies concerning moisture loss, and the reduction in radial dimension of banana slices was around 17–23% from the original slice before drying. An empirical mathematical equation was derived by applying the technique of multiple linear regression analysis to the whole dataset of the many experiments of the experimental work. The moisture diffusivity was between 7.88 × 10−10 to 1.04 × 10−10 m2/s, and the average activated energy of the banana was 34.29 kJ/mol. The experimental data were used to fit the drying models. The Midilli model was predicted to produce the closest results to the experimental data.
Effective crop development modelling is essential for crop management, water resource planning, assessing climate change's influence on agricultural production, and yield prediction. Validation and simulation of the measured data indicated that AquaCrop software is an effective and reliable program for designing pressurized irrigation systems to increase water application efficiency, system performance and the future prediction. The AquaCrop model was evaluated through a solid-set sprinkler and surface drip irrigation systems at 100%, 80%, and 60% of evapotranspiration (ETo) for the potato crop. The AquaCrop model has shown better performance to simulate potato growth and predicting crop variables under various water systems. The surface drip-irrigation system's at 80% of ETo (48.00, 8.05 ton ha-1) Yield had a substantial impact on the yield of potato and water productivity (WP), matching the yield of potatoes that was irrigated with solid-set sprinklers at 100% of ETo (37.39, 7.19 ton ha-1), with 20% water savings. Attributes of potatoes (canopy cover, biomass, potato crop factor (Kc), and water productivity) were affected by increasing water deficit. The simulated of AquaCrop model was a little higher than observed at 80% of ETo treatment, but still has a similar deviation, and it was slightly lower than seen for 60% of ETo treatment at the mid-season. The AquaCrop model predicted the yield of potatoes and biomass correctly when irrigation is adequate. The results indicated that there may be some changes in AquaCrop model simulation operations over future years based on the climate and irrigation method.
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