AIMC Topic: Crops, Agricultural

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Causality-inspired crop pest recognition based on Decoupled Feature Learning.

Pest management science Jul 18, 2024
BACKGROUND: Ensuring the efficient recognition and management of crop pests is crucial for maintaining the balance in global agricultural ecosystems and ecological harmony. Deep learning-based methods have shown promise in crop pest recognition. Howe...
Pest Control Deep Learning Crops, Agricultural Animals
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Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.

Scientific reports Jul 11, 2024
Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early an...
Neural Networks, Computer Machine Learning Plant Leaves Vitis Crops, Agricultural Image Processing, Computer-Assisted Agriculture Plant Diseases
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Positive public attitudes towards agricultural robots.

Scientific reports Jul 6, 2024
Robot technologies could lead to radical changes in farming. But what does the public know and think about agricultural robots? Recent experience with other agricultural technologies-such as plant genetic engineering-shows that public perceptions can...
Crops, Agricultural Germany Attitude Agriculture Robotics Public Opinion Adult Male Female Surveys and Questionnaires Aged Middle Aged Young Adult Adolescent Humans
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Deep Learning in Image-Based Plant Phenotyping.

Annual review of plant biology Jul 2, 2024
A major bottleneck in the crop improvement pipeline is our ability to phenotype crops quickly and efficiently. Image-based, high-throughput phenotyping has a number of advantages because it is nondestructive and reduces human labor, but a new challen...
Image Processing, Computer-Assisted Plants Crops, Agricultural Phenotype Deep Learning
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Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud.

Scientific reports Jun 28, 2024
Remote sensing has been increasingly used in precision agriculture. Buoyed by the developments in the miniaturization of sensors and platforms, contemporary remote sensing offers data at resolutions finer enough to respond to within-farm variations. ...
Solanum melongena Agriculture Remote Sensing Technology India Deep Learning Vegetables Crops, Agricultural Solanum lycopersicum
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Assessing the impact of climate variability on maize yields in the different regions of Ghana-A machine learning perspective.

PloS one Jun 25, 2024
Climate variability has become one of the most pressing issues of our time, affecting various aspects of the environment, including the agriculture sector. This study examines the impact of climate variability on Ghana's maize yield for all agro-ecol...
Carbon Dioxide Agriculture Climate Change Machine Learning Support Vector Machine Climate Temperature Zea mays Ghana Crops, Agricultural
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Surface-Enhanced Raman Scattering Imaging Assisted by Machine Learning Analysis: Unveiling Pesticide Molecule Permeation in Crop Tissues.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 24, 2024
Surface-enhanced Raman scattering (SERS) imaging technology faces significant technical bottlenecks in ensuring balanced spatial resolution, preventing image bias induced by substrate heterogeneity, accurate quantitative analysis, and substrate prepa...
Fruit Vegetables Pesticides Crops, Agricultural Spectrum Analysis, Raman Metal Nanoparticles Silver Machine Learning
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Impact of economic indicators on rice production: A machine learning approach in Sri Lanka.

PloS one Jun 21, 2024
Rice is a crucial crop in Sri Lanka, influencing both its agricultural and economic landscapes. This study delves into the complex interplay between economic indicators and rice production, aiming to uncover correlations and build prediction models u...
Crops, Agricultural Machine Learning Sri Lanka Agriculture Crop Production Oryza Support Vector Machine
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Novel artificial intelligence assisted Landsat-8 imagery analysis for mango orchard detection and area mapping.

PloS one Jun 14, 2024
The mango fruit plays a crucial role in providing essential nutrients to the human body and Pakistani mangoes are highly coveted worldwide. The escalating demand for agricultural products necessitates enhanced methods for monitoring and managing agri...
Mangifera Satellite Imagery Pakistan Fruit Crops, Agricultural Humans Agriculture Artificial Intelligence Remote Sensing Technology Machine Learning
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Bagging Improves the Performance of Deep Learning-Based Semantic Segmentation with Limited Labeled Images: A Case Study of Crop Segmentation for High-Throughput Plant Phenotyping.

Sensors (Basel, Switzerland) May 26, 2024
Advancements in imaging, computer vision, and automation have revolutionized various fields, including field-based high-throughput plant phenotyping (FHTPP). This integration allows for the rapid and accurate measurement of plant traits. Deep Convolu...
Phenotype Deep Learning Crops, Agricultural Neural Networks, Computer Semantics Image Processing, Computer-Assisted Zea mays
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