Certify or not? An analysis of organic food supply chain with competing suppliers

Customers expect companies to provide clear health-related information for the products they purchase in a big data environment. Organic food is data-enabled with the organic label, but the certification cost discourages small-scale suppliers from certifying their product. This lack of a label means that product that satisfies the organic standard is regarded as conventional product. By considering the trade-off between the profit gained from organic label and additional costs of certification, this paper investigates an organic food supply chain where a leading retailer procures from two suppliers with different brands. Customers care about both the brand-value and quality (more specifically, if food is organic or not) when purchasing the product. We explore the organic certification and wholesale pricing strategies for suppliers, and the supplier selection and retail pricing strategies for the retailer. We find that when two suppliers adopt asymmetric certification strategy, the retailer tends to procure the product with organic label. The supplier without a brand name can compensate with organic certification, which leads to more profits than the branded rival. As the risk of being abandoned by the retailer increases, the supplier without a brand name is more eager than the rival to obtain the organic label. If both suppliers certify the product, however, they will fall into a prisoner’s dilemma under situation with low health utility from organic label and high certification cost

ATR-FTIR spectroscopy non-destructively detects damage-induced sour rot infection in whole tomato fruit

Main conclusion ATR-FTIR spectroscopy with subsequent multivariate analysis non-destructively identifies plant–pathogen interactions during disease progression, both directly and indirectly, through alterations in the spectral fingerprint. Plant–environment interactions are essential to understanding crop biology, optimizing crop use, and minimizing loss to ensure food security. Damage-induced pathogen infection of delicate fruit crops such as tomato (Solanum lycopersicum) are therefore important processes related to crop biology and modern horticulture. Fruit epidermis as a first barrier at the plant–environment interface, is specifically involved in environmental interactions and often shows substantial structural and functional changes in response to unfavourable conditions. Methods available to investigate such systems in their native form, however, are limited by often required and destructive sample preparation, or scarce amounts of molecular level information. To explore biochemical changes and evaluate diagnostic potential for damage-induced pathogen infection of cherry tomato (cv. Piccolo) both directly and indirectly, mid-infrared (MIR) spectroscopy was applied in combination with exploratory multivariate analysis. ATR-FTIR fingerprint spectra (1800–900 cm−1) of healthy, damaged or sour rot-infected tomato fruit were acquired and distinguished using principal component analysis and linear discriminant analysis (PCA–LDA). Main biochemical constituents of healthy tomato fruit epidermis are characterized while multivariate analysis discriminated subtle biochemical changes distinguishing healthy tomato from damaged, early or late sour rot-infected tomato indirectly based solely on changes in the fruit epidermis. Sour rot causing agent Geotrichum candidum was detected directly in vivo and characterized based on spectral features distinct from tomato fruit. Diagnostic potential for indirect pathogen detection based on tomato fruit skin was evaluated using the linear discriminant classifier (PCA–LDC). Exploratory and diagnostic analysis of ATR-FTIR spectra offers biological insights and detection potential for intact plant–pathogen systems as they are found in horticultural industries

Gender, nutrition- and climate-smart food production: opportunities and trade-offs

Future food and nutrition security is threatened by climate change, overexploitation of natural resources and pervasive social inequalities. Promising solutions are often technology-focused and not necessarily developed considering gender and social disparities. This paper addresses issues of gender and human development opportunities and trade-offs related to promoting improved technologies for agricultural development. We examined these aspects for conservation agriculture (CA) as part of a cropping system with nutrition- and climate-smart potential. The paper is based on a literature review and field experiences from Zambia and Mexico. Findings point up situations where the promotion of CA for smallholders in developing countries may have undesired effects from gender and human development perspectives, specifically relating to drudgery, nutrition and food security, residue use, assets, mechanization and extension. The direction and magnitude of potential trade-offs depend on the local context and the specific intervention. The analysis is followed by a discussion of opportunities and pathways for mitigating the trade-offs, including gender transformative approaches; engagement with alternative or non-traditional partners with different but complementary perspectives and strengths; “smart” combinations of technologies and approaches; and policies for inclusive development

Uptake of climate-smart agriculture through a gendered intersectionality lens: Experiences from Western Kenya

This study conducted in western Kenya demonstrates how a gendered intersectionality lens can be used to explore how and the extent to which farming communities are coping with climate change. Results from a quantitative survey undertaken with 51 farmers and from 4 focused group discussions held with 33 farmers (19 males and 14 females) indicate that 85% of the respondents are willing to adopt climate-smart agriculture (CSA) interventions if constraining factors are resolved.This study reveals that farmers, regardless of whether they are male or female, are willing to adopt climate smart technologies and practices. However, factors such as ethnicity, education, age and marital status determine the levels of uptake of CSA technologies and practices. Looking at crops for instance, we find a high uptake (62.7%) of improved high yielding varieties (HYVs) amongst farmers with primary level education, meaning literacy levels influence adoption of practices. Analysis using age as a lens reveals that there is a high uptake among the youth and adults. Interestingly, the study site comprises of both the Luo and Kalenjin ethnic communities and even though they neighbor each other, we find a high rate of uptake among the Luo community due to existing social and cultural norms and practices related to farming. In conclusion, using a gendered intersectionality lens strengthens the argument for targeted interventions which focus on local needs and priorities while recognizing local contexts as informed by social, cultural and economic factor

Business Models for Biosensors in the Food Industry

The development of biosensor technology has made available online quality control of food production, reducing the cost of food production and improving safety and food quality. Consequently, the introduction of biosensors in the agro-food industry has changed business models of firms operating in both the agriculture and agro-food industry. This chapter aims to evidence existing trends in both technological and non-technological innovations and new trends and future challenges of the food industry