☆ 3.8 Proceedings Paper

Contrast Enhancement of UAV-Based Maize Plant Images for Automatic Detection of Fall Armyworm

DATA SCIENCE AND ALGORITHMS IN SYSTEMS, 2022, VOL 2 (2023)

Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images

Farian S. Ishengoma et al.

Summary: This study proposes a hybrid convolutional neural network model that combines UAV technology and VGG16 with InceptionV3 models for accelerated detection of fall armyworm-infested maize leaves. Comparisons show that the proposed hybrid model outperforms four existing CNN models in terms of accuracy and training time.

ECOLOGICAL INFORMATICS (2022)

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Article Optics

Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization

Zhenghua Huang et al.

Summary: This paper proposes an effective image enhancement strategy called CLDQHE, which overcomes the shortcomings of traditional histogram equalization methods by dividing the original histogram into four sub-histograms and introducing an adaptive histogram clipping method. Experimental results demonstrate that the proposed CLDQHE method yields pleasing results and even outperforms the state-of-the-arts.

OPTIK (2021)

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Review Environmental Sciences

Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review

Krishna Neupane et al.

Summary: Disease diagnosis is crucial for increasing food production in agriculture, and precision agriculture using Unmanned Aerial Systems is helpful. However, detecting diseases using UAVs presents challenges due to limitations in accuracy. Various sensors and algorithms are used for image processing and data analysis, contributing to the automatic detection of plant diseases.

REMOTE SENSING (2021)

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Article Engineering, Electrical & Electronic

Weak-Light Image Enhancement Method Based on Adaptive Local Gamma Transform and Color Compensation

Wencheng Wang et al.

Summary: This study proposes a novel image correction method based on adaptive local gamma transformation and color compensation, which effectively improves the visual effect of images in weak-light environments.

JOURNAL OF SENSORS (2021)

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Article Engineering, Electrical & Electronic