AIMC Topic: Unmanned Aerial Devices

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Efficient estimation of plant species diversity in desert regions using UAV-based quadrats and advanced machine learning techniques.

Journal of environmental management Jun 1, 2025
Understanding the distribution of plant species diversity(PSD) along spatial and environmental gradients is essential for implementing effective conservation strategies. However, effective monitoring of large-scale PSD in desert regions remain challe...
Machine Learning Algorithms Desert Climate China Plants Biodiversity Conservation of Natural Resources Unmanned Aerial Devices
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UAV-based water pollutants detection and classification framework using multi-modal and multi-sensor ensemble learning.

Environmental monitoring and assessment May 9, 2025
The massive increment in water pollutants due to the release of plastic, industrial, and household waste has threatened the delicate balance of ecosystems and the well-being of human life. Therefore, detection and monitoring of such water pollutants ...
Machine Learning Environmental Monitoring Water Pollutants, Chemical Remote Sensing Technology Ensemble Learning Unmanned Aerial Devices
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[Intelligent identification of livestock, a source of infection, based on deep learning of unmanned aerial vehicle images].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control May 10, 2023
OBJECTIVE: To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a s...
Neural Networks, Computer Animals Livestock Deep Learning Cattle Schistosomiasis japonica Unmanned Aerial Devices
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Different stages of disease detection in squash plant based on machine learning.

Journal of biosciences Jan 1, 2022
To increase agriculture production, accurate and fast detection of plant disease is required. Expert advice is needed to detect disease in plants, nutrition deficiencies or any other abnormalities caused by extreme weather conditions. But this proces...
Machine Learning Image Processing, Computer-Assisted Agriculture Plant Leaves Discriminant Analysis Plant Diseases Unmanned Aerial Devices Cucurbita
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Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms.

Plant physiology Nov 3, 2021
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield, thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models use multi-source data from unmanned aerial vehicles (UAVs), but ...
Machine Learning Farms China Plant Leaves Zea mays Crops, Agricultural Unmanned Aerial Devices
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