Academic literature on the topic 'Pineapple'

The demand for fresh pineapple fruit is currently highest for the MD2 pineapple variety. Continuous efforts are made to enhance the quality of MD2 pineapples, including the fruit skin colour, flesh colour, sweetness, and minimizing sunburn damage. Bagging is one of the pre-harvest methods that can be employed for this purpose. This research aims to find suitable bagging materials that meet the industry's criteria and assess the severity of sunburn in each bagging treatment. A completely randomized design was used in this study, with six different bagging materials and pineapples aged 80 Days After Forcing (DAF). The bagging materials used were the control, blue Polyethylene (PE) bag, white PE bag, black patent bag, paper bag, and the existing cap-shaped bagging technique using recycled paper from banana bagging, as utilized by PT. Great Giant Pineapple. Each treatment involved 120 pineapple samples harvested at 140 DAF. MD2 pineapples without bagging were found to provide the best results according to PT. Great Giant Pineapple's criteria, with green skin colour (1.35%) and uniform yellow flesh (85.62%).

The pineapple is an essential fruit in Taiwan. Farmers separate pineapples into two types, according to the percentages of water in the pineapples. One is the “drum sound pineapple” and the other is the “meat sound pineapple”. As there is more water in the meat sound pineapple, the meat sound pineapple more easily rots and is more challenging to store than the drum sound pineapple. Thus, farmers need to filter out the meat sound pineapple, so that they can sell pineapples overseas. The classification, based on striking the pineapple fruit with rigid objects (e.g., plastic rulers) is most commonly used by farmers due to the negligibly low costs and availability. However, it is a time-consuming job, so we propose a method to automatically classify pineapples in this work. Using embedded onboard computing processors, servo, and an ultrasonic sensor, we built a hitting machine and combined it with a conveyor to automatically separate pineapples. To classify pineapples, we proposed a method related to acoustic spectrogram spectroscopy, which uses acoustic data to generate spectrograms. In the acoustic data collection step, we used the hitting machine mentioned before and collected many groups of data with different factors; some groups also included the noise in the farm. With these differences, we tested our deep learning-based convolutional neural network (CNN) performances. The best accuracy of the developed CNN model is 0.97 for data Group V. The proposed hitting machine and the CNN model can assist in the classification of pineapple fruits with high accuracy and time efficiency.

Lendang Nangka Utara Village is located in the Masbagik Subdistrict, covering an area of 900 hectares. This village is renowned for its abundant natural resources, particularly pineapples. However, an issue observed in this village is the underutilization of these available natural resources. Pineapples, which are an iconic produce of Lendang Nangka Utara Village, should be processed into various products such as pineapple chips, pineapple jam, pineapple candy, pineapple pies, and more. Nonetheless, a majority of the residents in Lendang Nangka Utara Village who have pineapple farms merely sell the fruit without engaging in the production process to create value-added products. The Community Empowerment Real Work Lecture (Kuliah Kerja Nyata) aims to harness the existing resources in Lendang Nangka Utara Village to develop creative and innovative processed products. The chosen sample product for utilizing the available pineapple resources is pineapple pie. The program involves both socialization and training sessions for pineapple pie making. The socialization efforts aim to instill an entrepreneurial spirit within the community of Lendang Nangka Utara Village. Additionally, the pineapple pie training is designed to provide insights to the local community on how pineapples can be transformed into a product with higher market value compared to selling them solely as fresh fruits.

People use pineapples, one of which is as a cooking ingredient where pineapples are processed and eaten or can be served directly. However, what is not widely known by the public is that pineapple can be used as an antiseptic because pineapple has antibacterial activity. In the manufacture of this antiseptic where only the pineapple hump is used. So far, the pineapple weevil is known to the public only as garbage and cannot be used for anything, but the pineapple weevil can be used as an antiseptic, so that people can know and not throw away the pineapple weevil, but the community can use it as an antiseptic. With this counseling, the community in SidodadiPatumbak Village can know and practice what has been conveyed.

Riau is one of the provinces which is the largest producer of pineapples in Indonesia, reaching 214,277 tons in 2020. Only 53% of pineapples are consumed by the public, and the rest is thrown away. The contents of pineapple skin are water (86.7%) and carbohydrates (10.54%). Pineapple skin also contains quite high levels of sugar and carbohydrates. This can be used for further processing of pineapple skin, so that with a touch of technology and innovation pineapple skin can be converted into processed food products with economic value. One use of pineapple skin is as the main ingredient in making pineapple skin syrup. Pineapple skin syrup produced from processed pineapple skin has a fresh aroma and taste. The aim of this service is to increase the knowledge of SMKS Islamic Inayah Ujungbatu students in utilizing pineapple peels so that pineapple peels, which are usually wasted when processing the fruit flesh, can be used into innovative products with high economic value. The results of the service showed that more than 90% of participants stated that the training provided was very useful for improving their competence and could be used as a reference for independent entrepreneurship.

Pineapple fruit is included in the type of tropical fruit, which is quite popular because it contains a lot of Vitamin C, which is quite high. Pineapple is a local fruit in the Kampar area, this fruit can be consumed directly and become other local processed products. Therefore, the quality of pineapple ripeness must be maintained. The problem that occurs at this time is that the pineapple fruit selection process is still done manually, by looking at it visually, so mistakes can occur in the process of clarifying pineapple fruit identification according to standards. Therefore, it is necessary to research the ripeness of pineapples using the Color Space Algorithm Hue Saturation Intensity (HIS). The variables to be input are based on photos of ripe, half ripe, and raw pineapples using a smartphone camera or DSLR camera with a minimum resolution of 8 MP. Clarifying the results with image processing and Hue Saturation Intensity (HIS) transformation has an accuracy rate of 80% for the 20 image test data. So that the expected results can help pineapple farmers in detecting the level of maturity of pineapple fruit, which is difficult, can minimize errors in determining the ripeness of pineapple fruit

Pineapple is a kind of organic product from the Bromeliaceae family which has the logical name Ananas comosus Merr. Pineapple plants have weathered skin and pointed leaves on top. The taste of new pineapple is a combination of sweet and slightly sharp. Pineapple is high in L-ascorbic acid, which helps cells fight damage, according to the Linus Pauling Organization at Oregon State College. L-ascorbic acid is also useful in managing medical conditions, such as heart disease and joint pain. However, due to the absence of consideration from the regions and local governments regarding pineapple on the island of Sumatra, it has caused several problems, especially data on pineapples related to the advantages, content, and uniqueness of pineapples to be used as pineapples. chaotic and diminishing pineapple production, especially on the island of Sumatra. Therefore, it is important to make a wish to know the assessed amount of Pineapple Organic Product Crop Creation on the island of Sumatra so that the public authorities on the island of Sumatra have endlessly clear references to decide on an approach or make major progress sothat the development of pineapple on the island of Sumatra does not diminish. The method used in making predictions is the FletcherReeves algorithm and is a method in ANN. In this study, the data used was the number of pineapple fruit plants on the island of Sumatra in 2012-2021 obtained from BPS. Given this information, organizational design models will not be fully defined, including 4-10-1, 4-15-1, 4-20-1, 4-25-1 and 4-30-1. Of these 5 models, then Training and Testing is done and the best architectural model result is 4-15-1 with the least (less) Performance/MSE test. With the lowest Performance/MSE level of 0.005488189 compared to the other 4 models.

Information on methane emission in pineapple cultivation on peatlands is scarce. Methane emission in pineapple cultivation is important as 90% of pineapples are grown on the peat soils of Malaysia. It is essential to determine methane emission in pineapple cultivation because pineapples are Crassulacean acid metabolism plants whose effects on methane could be different from other crops grown on tropical peat soils. Methane emissions from root respiration, microbial respiration, and oxidative peat decomposition were determined in a lysimeter experiment. There were three treatments: peat soil cultivated with pineapple, bare peat soil, and bare peat soil fumigated with chloroform. Methane emissions from peat soil cultivated with pineapple, bare peat soil, and bare peat soil fumigated with chloroform were 0.65 t/ha/yr, 0.75 t/ha/yr, and 0.75 t/ha/yr, respectively. The lower methane emissions are consistent with the general believe that methane emission from cultivated peat soils is lower than those of anaerobic or water logged peat soils. Soil methane emission was affected by nitrogen fertilization under pineapple cultivation but the converse was true for soil temperature nor soil moisture.

Pineapples are a tropical food crop, yet from the late 1600s onwards, they were grown extensively in the northerly latitudes of Europe. The race to produce the first fruit in Europe was won by the Dutch in 1685 but the production of the first British fruits between 1714 and 1716 triggered a mania for growing them and the horticultural developments that this stimulated are described. The advent of hot water heating from 1816 revolutionized pineapple growing and in the Victorian era the production of well-grown pineapples became the crucial challenge that every gardener worth his salt had to master so that fruits could be entered in the prestigious horticultural shows. The Victorian pineapple pit at The Lost Gardens of Heligan, which was restored in 1994, recalls 19th century pineapple growing. A description and evaluation of the cultivation of the pit using traditional Victorian methods, but lacking certain crucial facilities such as tanner’s bark and supplementary heating, is given.

Pineapple has a large demand for plant nutrients and for this reason; fertilization is almost mandatory where the fruit is destined for sale. As consumer demand for organic food grows, organic production and certification is seen as a valuable alternative for smallholder farmers in developing countries. This study sought to investigate the effects of different organic fertilizers on the physical and chemical quality of pineapple (Ananas comosus L.) cultivated in two different ecological zones in Ghana. Organic fertilizers treatments were POME (Palm oil meal effluent), Phos-K (PH), Yara (Y) and combination of Phos-K and POME (PH+P) and Yara + POME (Y+P) in the ratio of 1:1. Soil without fertilizer was control. A farmer field demonstration and an on-station experimental trial were conducted parallel at Nsakyi and at the Biotechnology and Nuclear Agriculture Research Institute (BNARI) research farm, respectively. The experiment was laid out in the Randomised Completely Block Randomized Design (RCBD) with five fertilizer treatments and four replications. Sugar loaf pineapples were harvested at 17 months upon maturity, washed, peeled, and juice extracted for analyzing vitamin C, Total Soluble Solids, pH, Titratable acidity, juice yield and colour. Fruits were weighed with Sartorius scale and percentage weight loss estimated over 15 days. The weight loss of pineapples treated with POME (25.56 ± 0.62 %) from BNARI farm was significantly (p<0.05) higher than all the other pineapple treaments. pH of all pineapple samples significantly (P<0.05) differed for all the different fertilizer treatments for both farms. Phos-K significantly (p<0.05) enhanced the vitamin C content of pineapples from both ecological sites Lightness (L*) and yellowness (b*) for juice of pineapple treated with Phos-K from BNARI farm was significantly (p<0.05) higher, than samples from Nsakyi farms indicating desirable visual appeal for sugar loaf pineapples. Organic fertilizers significantly (p<0.05) influenced the pH, vitamin C and juice yield of pineapples grown in the two different ecological zones. Irrespective of the ecological differences in Nsakyi and BNARI farm sites, the application of Phos-K to pineapple significantly (p<0.05) increased the juice yield which is a desirable quality of pineapple. Thus the application of Phos-K organic fertilizer, better improved the physical and chemical quality attributes of pineapple. However, there is the need to conduct further work on application rate and utilization efficiency of organic fertilizers that will produce maximum pineapple quality and yield.