Electronic identification technology for agriculture, plant, and food. A review

Diagnostic tests for grapevine viruses subjected to phytosanitary rules involve a heavy workload for plant protection services and laboratories. Propagation schemes enable nurseries, where mother plants (MPs) are cultivated, to be linked to batches of certified plants (CPs). This approach entails post-production checks of MPs once infection occurs in CPs. However, this traceability system is not tight and follow ups are demanding. This study assessed radio frequency identification (RFID) tagging of plants in terms of its ability to reduce laboratory workloads for nursery health checks. RFID-tagged plants (RFID-CPs) were produced from individually tagged MPs (RFID-MPs) or row-tagged MPs (RFID-ROW, a less expensive approach). In a 10-year case study, the health status of CPs and RFID-CPs were assessed and the occurrence of infections then led to health checks in MPs, RFID-MPs or RFID-ROWs. Laboratory workloads were evaluated by considering two sampling methods (single or pool sampling). Using single sampling, the workload was reduced by 93-98% in RFID-ROW or RFID-MP checks compared to the conventional approach. Considerable reductions in workload due to the tagging system (93-96%) were also observed using pool sampling. Traceability of CPs and MPs using RFID reduces laboratory workloads, and supports emergency measures that can be taken to stop any unsafe sales of plants after a virus outbreak.

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“…(b) Location of tags (in rectangle) in 8‐year‐old grapevine mother plants. (c) Reading of certified plants with RFID tags (Luvisi, ).…”

Section: Methodsmentioning

confidence: 99%

Electronic identification systems for reducing diagnostic workloads after disease outbreak

et al. 2017

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“…Advances in materials science, device fabrication, and manufacturing of nano‐enabled products will facilitate the development of advanced technologies . Automation should be implemented in agriculture to improve plant health, agricultural yield, and quality . The properties of nanoscale products are tunable to regulate their size distribution, morphology and composition, therefore, devices need to be engineered for specific uses .…”

Section: Nanotechnology‐based Sensing Opportunities In Agriculturementioning

confidence: 99%

“…41 Automation should be implemented in agriculture to improve plant health, agricultural yield, and quality. 42 The properties of nanoscale products are tunable to regulate their size distribution, morphology and composition, therefore, devices need to be engineered for specific uses. 43 These physico-chemical properties of nanoparticles have been actively used in developing efficient biomedical, diagnostic and therapeutic technologies.…”

Section: Nanotechnology-based Sensing Opportunities In Agriculturementioning

confidence: 99%

Recent developments in nanotechnology transforming the agricultural sector: a transition replete with opportunities

et al. 2017

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The applications and benefits of nanotechnology in the agricultural sector have attracted considerable attention, particularly in the invention of unique nanopesticides and nanofertilisers. The contemporary developments in nanotechnology are acknowledged and the most significant opportunities awaiting the agriculture sector from the recent scientific and technical literature are addressed. This review discusses the significance of recent trends in nanomaterial-based sensors available for the sustainable management of agricultural soil, as well as the role of nanotechnology in detection and protection against plant pathogens, and for food quality and safety. Novel nanosensors have been reported for primary applications in improving crop practices, food quality, and packaging methods, thus will change the agricultural sector for potentially better and healthier food products. Nanotechnology is well-known to play a significant role in the effective management of phytopathogens, nutrient utilisation, controlled release of pesticides, and fertilisers. Research and scientific gaps to be overcome and fundamental questions have been addressed to fuel active development and application of nanotechnology. Together, nanoscience, nanoengineering, and nanotechnology offer a plethora of opportunities, proving a viable alternative in the agriculture and food processing sector, by providing a novel and advanced solutions. © 2017 Society of Chemical Industry.

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“…The progressive interaction between robotics and plants, which is increasing rapidly through the development of sensors, actuators, and mechatronics, must also be evaluated in terms of social and environmental sustainability issues. Agricultural robotic systems and tools may utilize hazardous materials and chemicals, which could increase costs and environmental impact for their disposal [85][86][87]. Further challenges for the introduction and widespread use of efficient robotic solutions are also relative to social dimensions of labor automation in a post-industrial society.…”

Section: Environmental and Social Sustainability Of Robotic Plant Promentioning

confidence: 99%

iPathology: Robotic Applications and Management of Plants and Plant Diseases

2017

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The rapid development of new technologies and the changing landscape of the online world (e.g., Internet of Things (IoT), Internet of All, cloud-based solutions) provide a unique opportunity for developing automated and robotic systems for urban farming, agriculture, and forestry. Technological advances in machine vision, global positioning systems, laser technologies, actuators, and mechatronics have enabled the development and implementation of robotic systems and intelligent technologies for precision agriculture. Herein, we present and review robotic applications on plant pathology and management, and emerging agricultural technologies for intra-urban agriculture. Greenhouse advanced management systems and technologies have been greatly developed in the last years, integrating IoT and WSN (Wireless Sensor Network). Machine learning, machine vision, and AI (Artificial Intelligence) have been utilized and applied in agriculture for automated and robotic farming. Intelligence technologies, using machine vision/learning, have been developed not only for planting, irrigation, weeding (to some extent), pruning, and harvesting, but also for plant disease detection and identification. However, plant disease detection still represents an intriguing challenge, for both abiotic and biotic stress. Many recognition methods and technologies for identifying plant disease symptoms have been successfully developed; still, the majority of them require a controlled environment for data acquisition to avoid false positives. Machine learning methods (e.g., deep and transfer learning) present promising results for improving image processing and plant symptom identification. Nevertheless, diagnostic specificity is a challenge for microorganism control and should drive the development of mechatronics and robotic solutions for disease management.

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Electronic identification technology for agriculture, plant, and food. A review

Cited by 38 publications

References 71 publications

Electronic identification systems for reducing diagnostic workloads after disease outbreak

Electronic identification systems for reducing diagnostic workloads after disease outbreak

Recent developments in nanotechnology transforming the agricultural sector: a transition replete with opportunities

iPathology: Robotic Applications and Management of Plants and Plant Diseases

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