Economic Fruit Trees Recognition in Hillsides: A CNN-Based Approach Using Enhanced UAV Imagery DOI Creative Commons
Maral Hooshyar, Yuan-Shuo Li,

Wen Tang

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 61991 - 62005

Published: Jan. 1, 2024

Managing sloping terrains worldwide presents a significant challenge due to the lack of structured management practices, particularly when integrating various fruit trees in irregular arrangements. This study addresses complexity arising from mixed cultivation by proposing solution utilizing Unmanned Aerial Vehicle (UAV) imagery for tree species recognition and classification. Our approach involves equipping UAVs with multispectral optical cameras capture over experimental terrain. The collected data undergoes processing classifying different types trees, roads, buildings through Orthophoto images. Convolutional Neural Networks (CNN) are employed image challenging hillside terrains, deep neural network methods, specifically VGG-16, VGG-19, ResNet-50, being applied compared. VGG-16 achieved accuracy analysis. Subsequently, fusion techniques, including Brovey, Hue-Saturation-Value, Principal Components Analysis (PCA), Gram-Schmidt, were explored, PCA demonstrating superior performance. revealed that fusion, near-infrared or red-edge bands, significantly enhanced prediction compared standalone imagery. combination visible-band fused additional spectral bands yielded highest accuracy, improving overall 0.76 0.92. research provides valuable insights applicable diverse regions grappling challenges managing cultivation.

Language: Английский

Low-water quality and non-communicable disease nexus: Health impacts, mechanisms, and advanced water treatment approaches DOI

Charles Nshimiyimana,

Nandini Thakur, Adel I. Alalawy

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115744 - 115744

Published: Feb. 1, 2025

Language: Английский

Citations

1
Pesticide residue detection technology for herbal medicine: current status, challenges, and prospects DOI Open Access
Bin Peng,

Yue-liang Xie,

Lai Qingfu

et al.

Analytical Sciences, Journal Year: 2024, Volume and Issue: 40(4), P. 581 - 597

Published: Feb. 17, 2024

The domains of cancer therapy, disease prevention, and health care greatly benefit from the use herbal medicine. Herbal medicine has become mainstay developing characteristic agriculture in planting area increasing year by year. One most significant factors affecting quality medicines is pesticide residue problem caused abuse during cultivation medicines. It urgent to solve detecting residues efficiently rapidly. In this review, we provide a comprehensive description various methods used for testing, including optical detection, enzyme inhibition rate method, molecular detection methods, immunoassays, lateral immunochromatographic, nanoparticle-based colorimetric immunosensor, chemiluminescence smartphone-based etc. On basis, systematically analyze mechanisms some findings above strategies discuss challenges prospects associated with development tools.

Language: Английский

Citations

4
Concentrations of Organochlorine, Organophosphorus, and Pyrethroid Pesticides in Rivers Worldwide (2014–2024): A Review DOI Open Access
Acela López-Benítez, Alfredo Guevara, M.A. Domínguez–Crespo

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8066 - 8066

Published: Sept. 15, 2024

The extensive use of pesticides has led to the contamination natural resources, sometimes causing significant and irreversible damage environment human health. Even though many is banned, these compounds are still being found in rivers worldwide. In this review, 205 documents have been selected provide an overview pesticide over last 10 years (2014–2024). After were examined, information 47 river systems was organized according types most frequently detected, including organochloride, organophosphorus, pyrethroid compounds. A total 156 classified, showing that 46% contain organochlorine compounds, while 40% exhibit organophosphorus pesticides. Aldrin, hexachlorocyclohexane, endosulfan predominant with concentration values between 0.4 37 × 105 ng L−1. Chlorpyrifos, malathion, diazinon main concentrations 1 11 Comparing standard guidelines, we Ganga River India (90 L−1), Owan Okura Rivers Nigeria (210 9 103 Dong Nai Vietnam (68 L−1) exceed permissible levels aldrin (30 L−1).

Language: Английский

Citations

4
Rapid degradation of trace atrazine using ozone microbubbles generated by ceramic membranes: efficiency, mechanism, and toxicity DOI
Qian Han,

Tao Lin,

Jing Du

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115649 - 115649

Published: Feb. 1, 2025

Language: Английский

Citations

0
Can Vulnerable Populations or Low-Income Consumers Choose What They Eat and Drink? DOI
Miriam Sosa,

Guillermo Hough

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Pesticide Contamination in Indoor Home Dust: A Pilot Study of Non-Occupational Exposure in Argentina. DOI Creative Commons
Virginia Aparicio,

Jessica Kaseker,

Paul T.J. Scheepers

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: 373, P. 126208 - 126208

Published: April 6, 2025

Language: Английский

Citations

0
Bifenthrin induces changes in clinical poisoning symptoms, oxidative stress, DNA damage, histological characteristics, and transcriptome in Chinese giant salamander (Andrias davidianus) larvae DOI
Jing Song,

Fengyun Huang,

Kun Ma

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172041 - 172041

Published: March 28, 2024

Language: Английский

Citations

2
Economic Fruit Trees Recognition in Hillsides: A CNN-Based Approach Using Enhanced UAV Imagery DOI Creative Commons
Maral Hooshyar, Yuan-Shuo Li,

Wen Tang

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 61991 - 62005

Published: Jan. 1, 2024

Managing sloping terrains worldwide presents a significant challenge due to the lack of structured management practices, particularly when integrating various fruit trees in irregular arrangements. This study addresses complexity arising from mixed cultivation by proposing solution utilizing Unmanned Aerial Vehicle (UAV) imagery for tree species recognition and classification. Our approach involves equipping UAVs with multispectral optical cameras capture over experimental terrain. The collected data undergoes processing classifying different types trees, roads, buildings through Orthophoto images. Convolutional Neural Networks (CNN) are employed image challenging hillside terrains, deep neural network methods, specifically VGG-16, VGG-19, ResNet-50, being applied compared. VGG-16 achieved accuracy analysis. Subsequently, fusion techniques, including Brovey, Hue-Saturation-Value, Principal Components Analysis (PCA), Gram-Schmidt, were explored, PCA demonstrating superior performance. revealed that fusion, near-infrared or red-edge bands, significantly enhanced prediction compared standalone imagery. combination visible-band fused additional spectral bands yielded highest accuracy, improving overall 0.76 0.92. research provides valuable insights applicable diverse regions grappling challenges managing cultivation.

Language: Английский

Citations

1