Results 61 to 70 of about 137,483 (300)

Deep Learning-Enabled Pest Detection System Using Sound Analytics in the Internet of Agricultural Things

open access: yesEngineering Proceedings, 2023
Around the globe, agriculture has grown to a point where it is now a financially feasible way to produce more sophisticated cultivation methods. Throughout the long tradition of agriculture, this represents a pivotal moment.
Rajesh Kumar Dhanaraj, Md. Akkas Ali
doaj   +1 more source

CCMT: Dataset for crop pest and disease detection

open access: yesData in Brief, 2023
La Inteligencia Artificial (IA) ha sido evidente en el sector agrícola recientemente. El objetivo de la IA en la agricultura es controlar las plagas/enfermedades de los cultivos, reducir los costos y mejorar el rendimiento de los cultivos. En los países en desarrollo, el sector agrícola enfrenta numerosos desafíos en forma de brecha de conocimiento ...
Patrick Kwabena Mensah   +16 more
openaire   +3 more sources

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

open access: yesAdvanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Pest Detection Based on Lightweight Locality-Aware Faster R-CNN

open access: yesAgronomy
Accurate and timely monitoring of pests is an effective way to minimize the negative effects of pests in agriculture. Since deep learning-based methods have achieved good performance in object detection, they have been successfully applied for pest ...
Kai-Run Li   +5 more
doaj   +1 more source

A Survey on Pest Detection Systems

open access: yes, 2022
Agriculture is backbone of India. With the growth in technology, several implements are being designed and developed to help the farmers to get better yields. Be it harvesting machines or sowing and tilling machines, major players of the industry are giving their best to develop innovative products for these farmers.
M S, Aishwarya   +3 more
openaire   +2 more sources

Highly‐Emissive Organic Photovoltaics Approaching Theoretical Limit Voltage and Enabling Multifunctional Energy‐Harvesting Displays

open access: yesAdvanced Materials, EarlyView.
A highly‐emissive organic photovoltaic employs donor–acceptor pairs with alternately localized frontier molecular orbitals, preserving high triplet energies and small reorganization energies to suppress non‐radiative recombination. As a result, it exhibits a high open‐circuit voltage approaching the Shockley–Queisser limit and a high ...
Qing‐Jun Shui   +7 more
wiley   +1 more source

Edge Computing for Vision-Based, Urban-Insects Traps in the Context of Smart Cities

open access: yesSensors, 2022
Our aim is to promote the widespread use of electronic insect traps that report captured pests to a human-controlled agency. This work reports on edge-computing as applied to camera-based insect traps.
Ioannis Saradopoulos   +4 more
doaj   +1 more source

Eliciting a predatory response in the eastern corn snake (Pantherophis guttatus) using live and inanimate sensory stimuli: implications for managing invasive populations [PDF]

open access: yes, 2014
North America's Eastern corn snake (Pantherophis guttatus) has been introduced to several islands throughout the Caribbean and Australasia where it poses a significant threat to native wildlife. Invasive snake control programs often involve trapping with
Burghardt GM   +40 more
core   +1 more source

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

TSD-Truncated Structurally Aware Distance for Small Pest Object Detection

open access: yesSensors, 2022
As deep learning has been successfully applied in various domains, it has recently received considerable research attention for decades, making it possible to efficiently and intelligently detect crop pests. Nevertheless, the detection of pest objects is
Xiaowen Huang   +5 more
doaj   +1 more source

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