AIMC Topic: Flowers

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Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards.

Scientific reports Jul 1, 2025
Durian is a valuable tropical fruit whose pollination heavily relies on bats and nocturnal insects. However, environmental degradation and pesticide usage have reduced insect populations, leading to inefficient natural pollination. This study propose...
Algorithms Fruit Flowers Pollination Animals Agriculture
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Delayed flowering phenology of red-flowering plants in response to hummingbird migration.

Current biology : CB Apr 14, 2025
The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent, and reward. The multi-dimensional response to selection to optimize pollination has generated correlated suites of these floral traits across distan...
Flowers Pollination North America Animal Migration Pigmentation Magnoliopsida Animals Color Birds Seasons
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A machine learning approach fusing multisource spectral data for prediction of floral origins and taste components of Apis cerana honey.

Food research international (Ottawa, Ont.) Feb 25, 2025
This study explores the use of near-infrared (NIR), mid-infrared (MIR), and Raman spectral fusion for the rapid prediction of floral origins and main taste components in Apis cerana (A. cerana) honey. Feature-level fusion with the partial least squar...
Honey Taste Flowers Least-Squares Analysis Amino Acids Bees Sugars Machine Learning Spectroscopy, Near-Infrared Spectrum Analysis, Raman Animals
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Analysis of the genetic basis of fiber-related traits and flowering time in upland cotton using machine learning.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jan 24, 2025
Cotton is an important crop for fiber production, but the genetic basis underlying key agronomic traits, such as fiber quality and flowering days, remains complex. While machine learning (ML) has shown great potential in uncovering the genetic archit...
Quantitative Trait Loci Cotton Fiber Gossypium Polymorphism, Single Nucleotide Phenotype Flowers Genome-Wide Association Study Machine Learning
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Feedback regulation of mA modification creates local auxin maxima essential for rice microsporogenesis.

Developmental cell Jan 13, 2025
N-methyladenosine (mA) RNA modification and its effectors control various plant developmental processes, yet whether and how these effectors are transcriptionally controlled to confer functional specificity so far remain elusive. Herein, we show that...
Feedback, Physiological Gametogenesis, Plant Adenosine Gene Expression Regulation, Plant Oryza Indoleacetic Acids Meiosis Plant Proteins Flowers
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Integrated of Hyperspectral Imaging and Machine Learning Algorithms for Nondestructive Detection of Therapeutic Properties of Plants.

Chemistry & biodiversity Jan 13, 2025
The approaches used to determine the medicinal properties of the plants are often destructive, labor-intensive, time-consuming, and expensive, making it impossible to analyze their quality analysis online. Performance of hyperspectral imaging (HSI) i...
Machine Learning Algorithms Support Vector Machine Plant Leaves Plants, Medicinal Plant Roots Flowers Hyperspectral Imaging
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Characterizing Chinese saffron Origin, Age and grade using VNlR hyperspectral imaging and Machine learning.

Food research international (Ottawa, Ont.) Jan 2, 2025
Saffron (Crocus sativus L.), the dried stigma, is an extremely valuable spice and medicinal herb, whose economic value is affected by geographical origin, age and grade. In this study, we proposed a method to identify saffron from different Chinese o...
Machine Learning Algorithms Crocus Support Vector Machine Spices Spectroscopy, Near-Infrared Flowers China Hyperspectral Imaging
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Multitemporal monitoring of forest indicator species using UAV and machine learning image recognition.

Environmental monitoring and assessment Dec 2, 2024
In natural restoration, it is important to improve the efficiency of monitoring. Remote sensing using unmanned aerial vehicle (UAV) platforms plays a major role in improving monitoring efficiency. UAV platforms are particularly suited for monitoring ...
Flowers Unmanned Aerial Devices Rhododendron Forests Japan Environmental Monitoring Machine Learning Remote Sensing Technology
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Data-centric AI approach for automated wildflower monitoring.

PloS one Sep 9, 2024
We present the Eindhoven Wildflower Dataset (EWD) as well as a PyTorch object detection model that is able to classify and count wildflowers. EWD, collected over two entire flowering seasons and expert annotated, contains 2,002 top-view images of flo...
Flowers Artificial Intelligence
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Deep learning approach for detecting tomato flowers and buds in greenhouses on 3P2R gantry robot.

Scientific reports Sep 4, 2024
In recent years, significant advancements have been made in the field of smart greenhouses, particularly in the application of computer vision and robotics for pollinating flowers. Robotic pollination offers several benefits, including reduced labor ...
Deep Learning Image Processing, Computer-Assisted Flowers Pollination Robotics Solanum lycopersicum
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