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Review of the cutting edge technologies for weed control in field crops

International Journal of Agricultural and Biological Engineering 2024年第5期17卷 44-57页

作者： Ankita Priyadarshini Subhaprada Dash jagadish jena Konathala Kusumavathi Priyabrata Pattnaik William Holderbaum Faculty of Agricultural Sciences Siksha‘O’Anusandhan Deemed to be UniversityBhubaneswar 751003India ICAR-Indian Institute of Water Management BhubaneswarOdisha 751023India Faculty of Engineering and Technology Siksha‘O’Anusandhan Deemed to be UniversityBhubaneswar 751003India Faculty of Science and Engineering Manchester Metropolitan UniversityManchester M15GDUK

In 21st century,the rapid increase in population and industrialization not only limits the per capita arable land for crop production but also limits the productive potential of soil and agricultural crops due to the negative impacts of anthropogenic climate *** the abiotic factors of the environment,among biotic factors limiting productivity,weeds contribute the *** to various limitations in conventional weed control methods,integrated weed management(IWM)practices have evolved for effective weed management in *** this era of information and technological evolution,artificial intelligence is moving at a faster pace in every sector to address the issues of various *** use of deep learning,machine learning,and artificial neural networks in AI-enabled robots and unmanned aerial vehicles,along with multi-and hyper-spectral image sensors,make the tools capable enough for quick and efficient weed management for harnessing the ultimate productive potential of different fields *** doubt,the IWM practices designed for various crops in different countries in different ecologies have advantages over the individual and traditional approaches to weed control,but the use of these AI-enabled software and tools can save time,resources,money,and labor when used along with the best IWM ***-based weed identification,mapping,and automation can be done for precise and effective management of weed flora using these modern approaches,which will be environmentally friendly and have a broader scope for achieving global food security.

关键词： artificial intelligence food security integrated weed management machine learning nano-herbicide

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Nonlinear frequency conversion in optical nanoantennas and metasurfaces:materials evolution and fabrication

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Opto-Electronic Advances 2018年第10期1卷 1-12页

作者： Mohsen Rahmani Giuseppe Leo Igal Brener Anatoly V. Zayats Stefan A. Maier Costantino De Angelis Hoe Tan Valerio Flavio Gili Fouad Karouta Rupert Oulton Kaushal Vora Mykhaylo Lysevych Isabelle Staude Lei Xu Andrey E. Miroshnichenko Chennupati jagadish Dragomir N. Neshev Research School of Physics and Engineering The Australian National University Canberra ACT 2601 Australia Matériaux et Phénomènes Quantiques Université Paris Diderot-Sorbonne Paris Cité 10 rue A. Domon et L. Duquet 75013 Paris France Center for Integrated Nanotechnologies Sandia National Laboratories Albuquerque New Mexico 87185 United States Department of Physics King’s College London Strand London WC2R 2LS United Kingdom The Blackett Laboratory Department of Physics Imperial College London London SW7 2AZ United Kingdom Chair in Hybrid Nanosystems Nano Institute Munich Fakultat für Physik Ludwig-Maximilians-Universitat München München Germany Deptartment of Information Engineering Universitàdegli Studi di Brescia and INO-CNR Via Branze 38 25123 Brescia Italy Institute of Applied Physics Abbe Center of Photonics Friedrich Schiller University Jena 07745 Jena Germany School of Engineering and Information Technology University of New South Wales Canberra ACT 2600 Australia

Nonlinear frequency conversion is one of the most fundamental processes in nonlinear *** has a wide range of applications in our daily lives,including novel light sources,sensing,and information *** is usually assumed that nonlinear frequency conversion requires large crystals that gradually accumulate a strong ***,the large size of nonlinear crystals is not compatible with the miniaturisation of modern photonic and optoelectronic ***,shrinking the nonlinear structures down to the nanoscale,while keeping favourable conversion efficiencies,is of great importance for future photonics *** the last decade,researchers have studied the strategies for enhancing the nonlinear efficiencies at the nanoscale,*** employing different nonlinear materials,resonant couplings and hybridization *** this paper,we provide a compact review of the nanomaterials-based efforts,ranging from metal to dielectric and semiconductor nanostructures,including their relevant nanofabrication techniques.

关键词： nonlinear nanophotonics metallic nanoantennas dielectric nanoantennas III-V semiconductor nanoantenna nanofabrication

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Infrared upconversion imaging in nonlinear metasurfaces

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Advanced Photonics 2021年第3期3卷 83-92页

作者： Rocio Camacho-Morales Davide Rocco Lei Xu Valerio Flavio Gili Nikolay Dimitrov Lyubomir Stoyanov Zhonghua Ma Andrei Komar Mykhaylo Lysevych Fouad Karouta Alexander Dreischuh Hark Hoe Tan Giuseppe Leo Costantino De Angelis Chennupati jagadish Andrey E.Miroshnichenko Mohsen Rahmani Dragomir N.Neshev The Australian National University Research School of PhysicsARC Centre of Excellence for Transformative Meta-Optical SystemsDepartment of Electronic Materials EngineeringCanberraACTAustralia University of Brescia Department of Information EngineeringBresciaItaly University of New South Wales School of Engineering and Information TechnologyCanberraACTAustralia Nottingham Trent University School of Science and TechnologyAdvanced Optics and Photonics LaboratoryDepartment of EngineeringNottinghamUnited Kingdom UniversitéParis Diderot Matériaux et Phénomènes QuantiquesParisFrance Friedrich Schiller University jena Institute of Applied PhysicsAbbe Center of PhotonicsJenaGermany Sofia University Department of Quantum ElectronicsFaculty of PhysicsSofiaBulgaria

Infrared imaging is a crucial technique in a multitude of applications,including night vision,autonomous vehicle navigation,optical tomography,and food quality *** infrared imaging technologies,however,require the use of materials such as narrow bandgap semiconductors,which are sensitive to thermal noise and often require cryogenic *** demonstrate a compact all-optical alternative to perform infrared imaging in a metasurface composed of GaAs semiconductor nanoantennas,using a nonlinear wave-mixing *** experimentally show the upconversion of short-wave infrared wavelengths via the coherent parametric process of sum-frequency *** this process,an infrared image of a target is mixed inside the metasurface with a strong pump beam,translating the image from the infrared to the visible in a nanoscale ultrathin imaging *** results open up new opportunities for the development of compact infrared imaging devices with applications in infrared vision and life sciences.

关键词： metasurfaces nonlinear optical processes infrared photonics imaging.

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