Appropriate harvest age of mango (Mangifera indica cv. Arumanis) for quality assurance in long distance transportation planning in Indonesia

Jabarzadeh, 2020, A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network, Manag. Environ. Qual. Int. J., 31, 1351, 10.1108/MEQ-12-2019-0276 Jedermann, 2014, Reducing food losses by intelligent food logistics, Phil. Trans. Math. Phys. Eng. Sci., 372 Ojo, 2018, 172 Jedermann, 2014, Reducing food losses by intelligent food logistics, Phil. Trans. Math. Phys. Eng. Sci., 372 Lin, 2015, Survey on operational perishables quality control and logistics, vol. 9335, 398 Yahia, 2019 Torres-Sánchez, 2020, Real-time monitoring system for shelf life estimation of fruit and vegetables, Sensors (Switzerland), 20, 10.3390/s20071860 Gustavsson, 2011 2015 2020 Kiloes, 2022, What do consumers want in fresh mangoes? A systematic literature review, Int. J. Food Sci. Technol., 57, 1473, 10.1111/ijfs.15503 Sembiring, 2020, Identification of morphological and sensory characteristics of Mango cultivars (Mangifera indica L.) in Langsa Lama district, Aceh, Indonesia, Jurnal Biologi Tropis, 20, 179, 10.29303/jbt.v20i2.1876 Ntsoane, 2019, Quality assesment and postharvest technology of mango : a review of its current status and future perspectives, Sci. Hortic., 249, 77, 10.1016/j.scienta.2019.01.033 Sato, 2021, Characterization of five Indonesian mangoes using gas chromatography–mass spectrometry-based metabolic profiling and sensory evaluation, J. Biosci. Bioeng., 132, 613, 10.1016/j.jbiosc.2021.09.006 Pratama, 2020 Kailaku, 2022, Logistics network configuration: the solution for quality- related problems in long-distance transportation of mango in Indonesia, IOP Conf. Ser. Earth Environ. Sci., 10.1088/1755-1315/1063/1/012057 Puspitasari, 2021, Factors affecting sustainability of increasing mango export: an application of MICMAC method, IOP Conf. Ser. Earth Environ. Sci., 892, 10.1088/1755-1315/892/1/012101 Ganda Sukmaya, 2022, Export performance and comparative advantage of Indonesian tropical fruits Sivakumar, 2011, Maintaining mango (Mangifera indica L.) fruit quality during the export chain, Food Res. Int., 44, 1254, 10.1016/j.foodres.2010.11.022 Medlicott, 1990, Ripening of Mangos following low-temperature storage, J. Am. Soc. Hortic. Sci., 115, 430, 10.21273/JASHS.115.3.430 Farina, 2020, Tree‐Ripe mango fruit: physicochemical characterization, antioxidant properties and sensory profile of six mediterranean⇂grown cultivars, Agronomy, 10, 10.3390/agronomy10060884 Diop, 2014, Correlation between colour, firmness, dry matter, sugars and maturity in "East Indian" mangoes (Mangifera indica), Acta Hortic., 1047, 121, 10.17660/ActaHortic.2014.1047.12 Lawson, 2019, Characterization of Southeast Asia mangoes (Mangifera indica L) according to their physicochemical attributes, Sci. Hortic., 243, 189, 10.1016/j.scienta.2018.08.014 Purandare, 2016, Analysis of post-harvest losses: an Internet of Things and machine learning approach, 222 Hsiao, 2016, Time-temperature transparency in the cold chain, Food Control, 64, 181, 10.1016/j.foodcont.2015.12.020 Indonesian National Standard No. 3164 on Mango (n.d). Song, 2019, Effects of 1-methylcyclopropene combined with modified atmosphere on quality of Fig (Ficus carica L.) during postharvest storage, J. Food Qual., 2019, 10.1155/2019/2134924 Munarso, 2020, Quality analysis of chili treated with aqueous ozone treatment and improved transportation and handling technology, Int. J. Technol., 11, 10.14716/ijtech.v11i1.3213 Arkeman, 2022, Applications of the Internet of Things (IoT) and blockchain for agriculture in Indonesia, FFTC J. Agric. Pol., 3, 57 Al Riza, 2023, Mango (Mangifera indica cv. Sein Ta Lone) ripeness level prediction using color and textural features of combined reflectance-fluorescence images, J. Agric. Food Res., 11 Minas, 2021, Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy, Food Chem., 335, 10.1016/j.foodchem.2020.127626 Vázquez-Celestino, 2016, Effects of waxing, microperforated polyethylene bag, 1-methylcyclopropene and nitric oxide on firmness and shrivel and weight loss of "Manila" mango fruit during ripening, Postharvest Biol. Technol., 111, 398, 10.1016/j.postharvbio.2015.09.030 Nadeem, 2022, On-tree fruit bagging and cold storage maintain the postharvest quality of Mango fruit, Horticulturae, 8, 814, 10.3390/horticulturae8090814 Kelly, 2019, A novel approach to determine the impact level of each step along the supply chain on strawberry quality, Postharvest Biol. Technol., 147, 78, 10.1016/j.postharvbio.2018.09.012 Tharanathan, 2006, Mango (Mangifera indica L.), "The King of Fruits" - an overview, Food Rev. Int., 22, 95, 10.1080/87559120600574493 Indiarto, 2020, Post-harvest handling technologies of tropical fruits: a review, Int. J. Emerg. Trends Eng. Res., 8, 3951, 10.30534/ijeter/2020/165872020 Eccher Zerbini, 2015, Optical properties, ethylene production and softening in mango fruit, Postharvest Biol. Technol., 101, 58, 10.1016/j.postharvbio.2014.11.008 Cherono, 2018, A review of the role of transportation on the quality changes of fresh tomatoes and their management in South Africa and other emerging markets, Int. Food Res. J., 25, 2211 Moalemiyan, 2012, Pectin-based edible coating for shelf-life extension of Ataulfo mango, J. Food Process. Eng., 35, 572, 10.1111/j.1745-4530.2010.00609.x Devanesan, 2012, Effect of storage temperatures, O2 concentrations and variety on respiration of mangoes, J. Agrobiol., 28, 119, 10.2478/v10146-011-0013-8 Sudhakar Rao, 2008, Controlled atmosphere storage of mango cultivars "Alphonso" and "Banganapalli" to extend storage-life and maintain quality, J. Hortic. Sci. Biotechnol., 83, 351, 10.1080/14620316.2008.11512391 Li, 2018, Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—a review, Plants, 7, 1, 10.3390/plants7010003 Nordey, 2016, Factors affecting ethylene and carbon dioxide concentrations during ripening: incidence on final dry matter, total soluble solids content and acidity of mango fruit, J. Plant Physiol., 196–197, 70, 10.1016/j.jplph.2016.03.008 Patel, 2016, Respiration behaviour and heat of respiration of mango (cv. Langdo) under different storage conditions, Int. J. Agric. Environ. Biotechnol., 9, 855, 10.5958/2230-732X.2016.00110.8 Kyriacou, 2018, Towards a new definition of quality for fresh fruits and vegetables, Sci. Hortic., 234, 463, 10.1016/j.scienta.2017.09.046 Kienzle, 2011, Harvest maturity specification for mango fruit (Mangifera indica L.' Chok Anan') in regard to long supply chains, Postharvest Biol. Technol., 61, 41, 10.1016/j.postharvbio.2011.01.015 Dar, 2015, Nutrient and flavor content of Mango (Mangifera indica L.) cultivars: an appurtenance to the list of staple foods, 445 Thiruchelvam, 2020, Temporal variation of volatile compounds from Sri Lankan mango (Mangifera indica L.) fruit during ripening, J. Agric. Food Res., 2 Kutyauripo, 2023, Artificial intelligence applications in the agrifood sectors, J. Agric. Food Res., 11 Budiyanto, 2017, Stack effect on power consumption of refrigerated containers in storage yards, Int. J. Technol., 7, 1182, 10.14716/ijtech.v8i7.771 Magwaza, 2015, Analytical methods for determination of sugars and sweetness of horticultural products-A review, Sci. Hortic., 184, 179, 10.1016/j.scienta.2015.01.001 Meena, 2018, Tree age affects postharvest attributes and mineral content in Amrapali Mango (Mangifera indica) fruits, Hortic. Plant J., 4, 55, 10.1016/j.hpj.2018.01.005 Jha, 2006, Physical and mechanical properties of mango during growth and storage for determination of maturity, J. Food Eng., 72, 73, 10.1016/j.jfoodeng.2004.11.020 Rungpichayapichet, 2017, Prediction mapping of physicochemical properties in mango by hyperspectral imaging, Biosyst. Eng., 159, 109, 10.1016/j.biosystemseng.2017.04.006 Nordey, 2017, Robust NIRS models for non-destructive prediction of mango internal quality, Sci. Hortic., 216, 51, 10.1016/j.scienta.2016.12.023 Nambi, 2016, Texture and rheological changes of Indian mango cultivars during ripening, Postharvest Biol. Technol., 117, 152, 10.1016/j.postharvbio.2016.02.009 Sakhale, 2018, Application of 1-methylcyclopropene on mango fruit (Cv. Kesar): potential for shelf life enhancement and retention of quality, J. Food Sci. Technol., 55, 776, 10.1007/s13197-017-2990-0 Kittur, 2001, Polysaccharide-based composite coating formulations for shelf-life extension of fresh banana and mango, Eur. Food Res. Technol., 213, 306, 10.1007/s002170100363 Ur-Rahman, 2008, Artificial ripening: what we are eating, J. Med., 9, 42, 10.3329/jom.v9i1.1425 Buccheri, 2019, Near infrared spectroscopy in the supply chain monitoring of Annurca apple, J. Near Infrared Spectrosc., 27, 86, 10.1177/0967033518821829 Orjuela-Castro, 2017, Coupling facility location models in the supply chain of perishable fruits, Res. Transport. Bus. Manag., 24, 73, 10.1016/j.rtbm.2017.08.002 Kour, 2018, Ripening quality of Dusehri Mango in relation to harvest time, J. Food Sci. Technol., 55, 2395, 10.1007/s13197-018-3156-4 Chandrasekaran, 2019, Potential of near-infrared (NIR) spectroscopy and hyperspectral imaging for quality and safety assessment of fruits: an overview, Food Anal. Methods, 12, 2438, 10.1007/s12161-019-01609-1 Baloch, 2012, Effect of harvesting and storage conditions on the post harvest quality and shelf life of mango (Mangifera indica L.) fruit, South Afr. J. Bot., 83, 109, 10.1016/j.sajb.2012.08.001 Orjuela-Castro, 2018, Evaluating the supply chain design of fresh food on food security and logistics, Commun. Comput. Inform. Sci., 915, 257 Vélez-Rivera, 2014, Computer vision system applied to classification of "Manila" Mangoes during ripening process, Food Bioprocess Technol., 7, 1183, 10.1007/s11947-013-1142-4 Eissa, 2013, Vibration analysis influence during crisis transport of the quality of fresh fruit on food security, Agric. Eng. Int. CIGR J., 15, 181 Badia-Melis, 2018, New trends in cold chain monitoring applications-A review, Food Control, 86, 170, 10.1016/j.foodcont.2017.11.022 Musacchi, 2018, Apple fruit quality: overview on pre-harvest factors, Sci. Hortic., 234, 409, 10.1016/j.scienta.2017.12.057 Wedding, 2011, Non-destructive prediction of "Hass" avocado dry matter via FT-NIR spectroscopy, J. Sci. Food Agric., 91, 233, 10.1002/jsfa.4175 2015 Palmer, 2010, Fruit dry matter concentration: a new quality metric for apples, J. Sci. Food Agric., 90, 2586, 10.1002/jsfa.4125 Goke, 2018, Postharvest dry matter and soluble solids content prediction in d'anjou and bartlett pear using near-infrared spectroscopy, Hortscience, 53, 669, 10.21273/HORTSCI12843-17 Saei, 2011, Cropping effects on the loss of apple fruit firmness during storage: the relationship between texture retention and fruit dry matter concentration, Sci. Hortic., 130, 256, 10.1016/j.scienta.2011.07.008 Porat, 2018, Postharvest losses of fruit and vegetables during retail and in consumers' homes: quantifications, causes, and means of prevention, Postharvest Biol. Technol., 139, 135, 10.1016/j.postharvbio.2017.11.019 Nordey, 2014, Spatial and temporal variations in mango colour, acidity, and sweetness in relation to temperature and ethylene gradients within the fruit, J. Plant Physiol., 171, 1555, 10.1016/j.jplph.2014.07.009 Santos Neto, 2018, Cold storage of ‘Palmer’ mangoes sorted based on dry matter content using portable near infrared (VIS-NIR) spectrometer, J. Food Process. Preserv., 42, 10.1111/jfpp.13644 Brecht, 2009, Postharvest physiology. The Mango, 484 Orjuela-Castro, 2021, Logistics network configuration for seasonal perishable food supply chains, J. Ind. Eng. Manag., 14, 135 Khumaidi, 2021, Effects of spectral transformations in support vector machine on predicting "Arumanis" mango ripeness using near-infrared spectroscopy, ILKOM Jurnal Ilmiah, 13, 206, 10.33096/ilkom.v13i3.856.206-215 Jha, 2014, Nondestructive prediction of maturity of mango using near infrared spectroscopy, J. Food Eng., 124, 152, 10.1016/j.jfoodeng.2013.10.012 Carlos, 2017, Determination of 'Palmer' mango maturity indices using portable near infrared (VIS-NIR) spectrometer, Postharvest Biol. Technol., 130, 75, 10.1016/j.postharvbio.2017.03.009 Marques, 2016, Rapid and non-destructive determination of quality parameters in the "Tommy Atkins" mango using a novel handheld near infrared spectrometer, Food Chem., 197, 1207, 10.1016/j.foodchem.2015.11.080