Results 41 to 50 of about 34,834 (234)

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

Agronomy
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, Li-Jun Duan, Yang-Jun Deng, Jin-Ling Liu, Chen-Feng Long, Xing-Hui Zhu   +5 more
doaj   +1 more source

A Survey on Pest Detection Systems

, 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, K, Karthik, D, Nandan, N, Rachana   +3 more
openaire   +2 more sources

Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents

Advanced Functional Materials, EarlyView.
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras, Imelda Raczkiewicz, Peggy Bouquet, Jean‐Philippe Dacquin, Jeremy Dhainaut, Anne Goffard, Christophe Volkringer   +6 more
wiley   +1 more source

Suitability of Satellite Imagery for Surveillance of Maize Ear Damage by Cotton Bollworm (Helicoverpa armigera) Larvae

Remote Sensing, 2023
The cotton bollworm (Helicoverpa armigera, Lepidoptera: Noctuidae) poses significant risks to maize. Changes in the maize plant, such as its phenology, influence the short-distance movement and oviposition of cotton bollworm adults and, thus, the ...
Fruzsina Enikő Sári-Barnácz, Mihály Zalai, Stefan Toepfer, Gábor Milics, Dóra Iványi, Mariann Tóthné Kun, János Mészáros, Mátyás Árvai, József Kiss   +8 more
doaj   +1 more source

Hybrid Nanofibers for Multimodal Accelerated Wound Healing

Advanced Healthcare Materials, EarlyView.
Fabrication of wound healing scaffolds based on biocompatible nanofibers. Nanofibers offering high surface area, flexibility, and biocompatibility significantly improved the healing outcome in vivo. Histological, immunological, and anti‐inflammatory markers are noticeably better in treated wounds.
Viraj P. Nirwan, Bence Bajusz, Norbert Fabók, Marina Rudan Dimlic, Jelena Budimir, Tshepang Mqatywa, Miklós Gyöngy, Márton Ferencz, Dorottya Kocsis, Olexandr Bondarenko, Mariia Rolduhina, Milena Lengyel, Istvan Antal, Rebecca Hengsbach, Franciska Erdő, Amir Fahmi   +15 more
wiley   +1 more source

An IoT-Based System for Efficient Detection of Cotton Pest

Applied Sciences, 2023
Considering the importance of cotton products, timely identification of pests (flying moths—being a significant threat to cotton crops) helps to protect cotton crops and improve their production and quality.
Saeed Azfar, Adnan Nadeem, Kamran Ahsan, Amir Mehmood, Muhammad Shoaib Siddiqui, Muhammad Saeed, Mohammad Ashraf   +6 more
doaj   +1 more source

Improving detection probabilities for pests in stored grain [PDF]

Pest Management Science, 2010
AbstractBACKGROUND: The presence of insects in stored grain is a significant problem for grain farmers, bulk grain handlers and distributors worldwide. Inspection of bulk grain commodities is essential to detect pests and thereby to reduce the risk of their presence in exported goods. It has been well documented that insect pests cluster in response to
Elmouttie, David, Kiermeier, Andreas, Hamilton, Grant   +2 more
openaire   +3 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery

IEEE Access
Accurate detection of pest species in cotton fields is vital for effective agricultural management and the development of pest-resistant crops. However, achieving high-throughput and precise pest detection in cotton fields remains a challenging task ...
Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding   +4 more
doaj   +1 more source

Pestoscope: AI-Based Pest Detection

Journal of Student Research
Before humans became hyper-specialized, most people primarily relied upon farming as a means of food acquisition. However, up to 40% of global crop production is lost to plant pests. With erratic weather linked to global warming, crop-destroying insects have begun thriving in these newfound conditions (Down To Earth 2021).
Gurman Goraya, Smriti Bhandari
openaire   +1 more source