Sustainable Global Food Supply

Scott, Norman R.; Chen, Hongda; Schoen, Robin

doi:10.1007/978-3-319-04033-2_43-1

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…A principal objective of agronomic and agricultural economic sciences is to provide farmers with science‐based farm input management advice, which can lead to economic and environmental benefits (Scott et al, 2015; Wolfe et al, 2016). Knowledge of yield response functions is key to providing that advice.…”

Section: Prologuementioning

confidence: 99%

The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation

et al. 2019

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The Data-Intensive Farm Management (DIFM) project works with participating farmers, using precision technology to inexpensively design and run randomized agronomic field trials on whole commercial farm fields, to provide data-based, site-specific farm input management guidance, thus providing economic and environmental benefits. This article lays out a conceptual framework used by the multidisciplinary DIFM research team to facilitate collaboration and then presents details of DIFM's procedures for what it calls on-farm precision experimentation (OFPE), which includes field trial design and implementation, data generation, processing, and management, and analysis. It is argued that DIFM's data and the agricultural "Big Data" currently being collected with remote and proximal sensors are complementary; that is, more of either increases the value of the other. In 2019, DIFM and affiliates conducted over 120 trials, ranging from 10 to 100 ha in size, on maize, wheat, soybeans, cotton, and barley in eight US states, Argentina, Brazil, and South Africa. The DIFM project is developing cyberinfrastructure to "scale up" its activities, to permit researchers and crop consultants worldwide to work with farmers to conduct trials, then process and manage the data. In Addition, DIFM is in the early stages of developing a software system for semiautomatic data analytics, and a cloud-based farm management aid, the purpose of which is to facilitate conversations between agronomists and farmers about implementing data-driven input management decisions. The proposed framework allows researchers, agronomists, and farmers to carry out on-farm precision experimentation using novel digital tools.

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Section: Prologuementioning

confidence: 99%

The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation

et al. 2019

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“…The grand challenge report released by the UN‐FAO (FAO ) and also the FSMA report from 2011 each call specifically for new technologies to ensure the safe/secure supply of food in the face of a growing population and anticipated climate change effects. Development of socially relevant technologies in itself a major challenge (Scott and others ), and there are many groups around the world investigating this problem. As noted by Kagan (), nanoscale materials will play a major role in the development of new technologies at the nexus of food security and food safety.…”

Section: Comparison Of Current and Emerging Techniques For Monitoringmentioning

confidence: 99%

Emerging Biorecognition and Transduction Schemes for Rapid Detection of Pathogenic Bacteria in Food

Vanegas

Gomes

Cavallaro

et al. 2017

Comp Rev Food Sci Food Safe

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The presence of unsafe levels of microorganisms in food constitutes a growing economic and public health problem that necessitates new technology for their rapid detection along the food continuum from production to consumption. While traditional techniques are reliable, there is a need for more sensitive, selective, rapid, and costeffective approaches for food safety evaluation. Methods such as microbiological counts are sufficiently accurate and inexpensive, and are capable of determining presence and viability for most pathogens. However, these techniques are time consuming, involve destructive sampling, and require trained personnel and biosafety-certified facilities for analysis. Molecular techniques such as the polymerase chain reaction have greatly improved analytical capability over the last decade, achieving shorter analysis time with quantitative data and strain specificity, and in some cases the ability to discriminate cell viability. The emerging field of nanosensors/biosensors has demonstrated a variety of devices that hold promise to bridge the gap between traditional plate counting and molecular techniques. Many nanosensors/biosensors are rapid, portable, accurate devices that can be used as an additional screening tool for identifying unsafe levels of microorganisms in food products with no need for pre-enrichment. In this review, we provide a brief overview of available biorecognitiontransduction techniques for detecting bacteria in food. We then discuss the advantages and disadvantages of each technique, and describe some recent biosensor or nanosensor technologies that are under development. We conclude by summarizing the opportunities and challenges in the field of pathogen monitoring in food systems and we focus the discussion on the strengths/weaknesses of the most popular biorecognition agents and transducer nanomaterials for biosensing.

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Sustainable Global Food Supply

Cited by 2 publications

References 12 publications

The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation

The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation

Emerging Biorecognition and Transduction Schemes for Rapid Detection of Pathogenic Bacteria in Food

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