scholarly journals Postharvest Losses in Quantity and Quality of Pear (cv. Packham’s Triumph) along the Supply Chain and Associated Economic, Environmental and Resource Impacts

2022 ◽  
Vol 14 (2) ◽  
pp. 603
Author(s):  
Anelle Blanckenberg ◽  
Olaniyi Amos Fawole ◽  
Umezuruike Linus Opara

Approximately one third of the food produced globally is lost or wasted along the supply chain. Reducing this would be an important measure to increase the global food supply as the world continues the struggle to feed its people sustainably. Not merely a waste of food, these losses also represent a waste of human effort and agricultural inputs from expensive fertilizers to natural resources as well as contributing to global greenhouse gas emissions. Measuring the extent of, and understanding the reasons for, these losses can assist in developing appropriate measures required to prevent or reduce such losses. Therefore, the objective of this research was to quantify postharvest losses in quantity and quality of ‘Packham’s Triumph’ pears at farm and simulated retail levels. Pears were sampled from two farms in the Western Cape Province of South Africa, the largest deciduous fruit production and export region in Southern Africa. The greatest losses measured along the supply chain were on-farm immediately after harvest, with 18% recorded. The main reasons for on-farm losses were small size (65%), deformity (26%), and chafed peel (9%). After 14 days in cold storage (−0.3 ± 0.7 °C, 81.3 ± 4.1% RH), mean pear losses were 0.86% which increased to 1.49% after 28 days. After 10 days of further storage under simulated market conditions (5.4 ± 0.6 °C, 83.7 ± 2.9% RH), fruit losses were 1.52% during retail marketing and 2.09% during export. Storing pears under ambient conditions (25.1 ± 1.3 °C and 46.6 ± 6.0% RH) resulted in a higher incidence of losses, increasing from 0.90 to 1.55 and 2.25% after 3, 7, and 10 days, respectively. The socio-economic impacts of these postharvest losses amounted to financial losses of between ZAR 492 million (USD 34.1 million according to the conversion rate of 14 April 2021) to over ZAR 831 million annually, and this was associated with the loss of 301 million MJ of fossil energy, 69 million m3 of fresh water and contributed to the emission of approximately 19,690 tons of CO2 equivalent. The fresh water lost could sustain 3.7 million individuals daily for a whole year at a daily minimum usage rate of 0.05 m3 per day while it will require planting 0.5 million trees to sink the 19,690 tons GHG emissions of the pear losses (0.039 metric ton per urban tree planted). Decreasing postharvest losses will conserve resources as well as improve food security and nutrition, objectives of the post-2015 sustainable development agenda led by the United Nations.

2021 ◽  
Vol 13 (8) ◽  
pp. 4450
Author(s):  
Anelle Blanckenberg ◽  
Umezuruike Linus Opara ◽  
Olaniyi Amos Fawole

High incidence of postharvest losses is a major challenge to global food security. Addressing postharvest losses is a better strategy to increase business efficiency and improve food security rather than simply investing more resources to increase production. Global estimates show that fruit and vegetables are the highest contributors to postharvest losses and food waste, with 45% of production lost. This represents 38% of total global food losses and waste. However, the lack of primary data on postharvest losses at critical steps in the fruit value chain and the unknown economic, environmental and resource impacts of these losses makes it difficult to formulate mitigation strategies. This paper quantifies postharvest losses and quality attributes of ‘Crimson Seedless’ table grapes at farm and simulated retail levels. Table grapes were sampled from four farms in the Western Cape Province of South Africa, the largest deciduous fruit production and export region in Southern Africa. Mean on-farm losses immediately after harvest was 13.9% in 2017 and 5.97% in 2018, ranging from 5.51% to 23.3% for individual farms. The main reason for on-farm losses was mechanical damage (7.1%). After 14 days in cold storage (−0.3 ± 0.7 °C, 81.3 ± 4.1% RH), mean grape losses were 3.05% in 2017 and 2.41% in 2018, which increased to 7.41% in 2017 and 2.99% in 2018, after 28 days. After 10 days of further storage under simulated market conditions (5.4 ± 0.6 °C, 83.7 ± 2.9% RH), fruit losses were 3.65% during retail marketing and 4.36% during export. Storing grapes under ambient conditions (25.1 ± 1.3 °C and 46.6 ± 6.0% RH) resulted in a higher incidence of losses, increasing from 7.03 to 9.59 and 14.29% after 3, 7 and 10 days, respectively. The socioeconomic impacts of these postharvest losses amounted to financial losses of over ZAR 279 million (USD 17 million according to the conversion rate of 20 October 2020) annually, and this was associated with the loss of 177.43 million MJ of fossil energy, 4.8 million m3 of fresh water and contributed to the emission of approximately 52,263 tons of CO2 equivalent.


2021 ◽  
Vol 39 (1) ◽  
pp. 49
Author(s):  
Ening Ariningsih ◽  
NFn Ashari ◽  
Handewi P. Saliem ◽  
Mohamad Maulana ◽  
Kartika Sari Septanti

<p>Gedong gincu mango is a specific mango variety in West Java Province, which has a high economic value and the prospect of being a superior export commodity of Indonesia. Despite its increasing production and high market prospect, gedong gincu mango agribusiness still faces various problems, both in on-farm and off-farm aspects. This paper aims to study the agribusiness of gedong gincu mango, covering both on-farm and off-farm aspects and export prospects. In general, gedong gincu mango farmers are small-scale farmers who practice traditional cultivation, harvest, and post-harvest management; are not yet market-oriented; practicing conventional marketing that relies on collecting traders, and have weak institutional. These conditions cause low productivity and diverse quality of gedong mango and are not continuously available throughout the year, which hinder the potential for wide-open exports from being appropriately utilized. It needs improvement in both on-farm and off-farm to improve the production and marketing of gedong gincu mango. At the on-farm level, efforts to increase competitiveness can be made by improving fruit production, productivity, quality, and continuity, by applying good agricultural practices. At the off-farm level, this can be done through improving facilities and infrastructures, institutions, and regulations. These efforts should involve all parties, including farmers (producers), marketing agents (collectors, traders, exporters), and policymakers.</p>


Author(s):  
Utsab Mukherjee ◽  
Shawni Dutta ◽  
Samir Kumar Bandyopadhyay

Globalization and extreme competition in the market have made the food supply chain more complex than before.  To address the complexities in the food supply chain, blockchain has become more evident than the traditional ways. Use of blockchain technologies can ensure the efficiency, transparency and reliability of the food supply chain starting from the farms to forks. This study focuses on the applicability of blockchain systems to the agriculture field and provides comparative analysis among the existing methodologies that are dedicated to uplift the security, effectiveness and reliability of blockchain based food supply chains. This research has also proposed a novel model that couples blockchain and IoT based sensor modules, which can be applicable in real-life scenarios. The proposed method essentially follows a multi-layer architecture where each layer is presented by means of a blockchain technology. Each layer is fed by the ambient conditions which may impact better quality of crops. The IoT module will ensure better farming as well as the blockchain system will ensure the quality of the end product. If the packaged food degrades in quality, the reason behind the degradation can be located by the model presented in this paper. The presented framework may reach promising efficiency in practical life but the framework implementation cost may create a burden for the investors.


2018 ◽  
Vol 5 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Dwi Yulianto ◽  
Retno Nugroho Whidhiasih ◽  
Maimunah Maimunah

ABSTRACT   Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%.   Keywords: banana maturity, classification, image processing     ABSTRAK   Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu  buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes  sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%.   Kata Kunci : kematangan pisang,  klasifikasi, pengolahan citra


2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Ani Saifuza Abd Shukor ◽  
Muhammad Fadhil Muhammad ◽  
Shamsida Saidan Khaderi ◽  
Faridah Muhammad Halil

The shift to an integrated IBS construction approach requires enhanced supply chain integration to improve the productivity as well as the poor quality of human behavioual aspect in IBS project. This paper is to identify the challenges at each tier between players to facilitate supply chain integration among the IBS players. Findings adopted from semi-structured interview revealed the critical attitude issues of human factors, lack of interaction and sharing knowledge between interdisciplinary people. The findings of this study is useful to improve integration of supply chain and enhance innovation and sharing interaction between players in the IBS Malaysian construction project environment.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Construction Environment; Industrialised Building System; Integration and Supply Chain 


2019 ◽  
Vol 11 (17) ◽  
pp. 4716 ◽  
Author(s):  
Katarzyna Kozicka ◽  
Sebastian Kot ◽  
I Gede Riana

Managing a tourism supply chain is predominantly focused on managing a tourism-specific product that can be perceived as all kinds of goods and services utilized by tourists during their trips. The predominant goal of this article is to empirically identify the level of engagement of entities operating in the tourism-oriented branch of industry concerning the satisfaction of end-customers with the offered tourism-related services and products. Within the scope of this study, the statistical relevance of elements of active cooperation within a tourism-specific supply chain was analyzed. Empirical examinations covered the assessment of the cooperation within the framework of the tourism-oriented supply chain and its impact on consumer satisfaction. A research questionnaire was utilized to meet examination-specific goals. Theoretical considerations and the analysis of branches of industry in relation to the available statistical data showed that tourist-oriented supply chain covers various entities, the engagement of which may have a factual impact on the efficiency of managing the entire chain, as well as on the overall client satisfaction, improving tourism sustainability. The obtained results clearly showed that the examined entities considered the analyzed cooperation aspects to be very important with regard to the supply chain management. Said aspects included the total length of cooperation within the framework of a particular supply chain, which, according to the examined entities, directly translated into the quality of cooperation—to either significant or very significant extent, as well as making it much easier to solve certain problems that were strictly connected with the provision of tourism-oriented services. Yet another aspect of cooperation that was touched upon was the transfer of the so-called know-how between the entities engaged in a given supply chain. As proven by the examination, 70% of the surveyed entities claimed that it was of significant or very significant importance. The last analyzed aspect of cooperation were relations between the supply chain-specific partners and their impact on the satisfaction of end customers. According to over half of the sample (61.54%), decent relations between supply chain participants affected the satisfaction of end customers to a notable extent.


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