AIMC Topic: Zea mays

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Research On Maize Disease Identification Methods In Complex Environments Based On Cascade Networks And Two-Stage Transfer Learning.

Scientific reports Nov 7, 2022
Achieving accurate and reliable maize disease identification in complex environments is a huge challenge. This is because disease images obtained from natural environments are often in complex contexts that may contain elements similar to disease cha...
Machine Learning Zea mays
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Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction.

Computational intelligence and neuroscience Aug 10, 2022
Corn has great importance in terms of production in the field of agriculture and animal feed. Obtaining pure corn seeds in corn production is quite significant for seed quality. For this reason, the distinction of corn seeds that have numerous variet...
Neural Networks, Computer Algorithms Computers Support Vector Machine Bayes Theorem Zea mays
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High-throughput image-based plant stand count estimation using convolutional neural networks.

PloS one Jul 28, 2022
The landscape of farming and plant breeding is rapidly transforming due to the complex requirements of our world. The explosion of collectible data has started a revolution in agriculture to the point where innovation must occur. To a commercial orga...
Neural Networks, Computer Algorithms Phenotype Zea mays Plant Breeding
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Deep Learning Approach for Detection of Underground Natural Gas Micro-Leakage Using Infrared Thermal Images.

Sensors (Basel, Switzerland) Jul 16, 2022
The leakage of underground natural gas has a negative impact on the environment and safety. Trace amounts of gas leak concentration cannot reach the threshold for direct detection. The low concentration of natural gas can cause changes in surface veg...
Temperature Deep Learning Zea mays Natural Gas
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iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network.

Genomics May 6, 2022
A promoter is a short DNA sequence near the start codon, responsible for initiating the transcription of a specific gene in the genome. The accurate recognition of promoters is important for achieving a better understanding of transcriptional regulat...
Neural Networks, Computer Algorithms Zea mays Base Sequence Promoter Regions, Genetic TATA Box
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Maize leaf disease identification based on WG-MARNet.

PloS one Apr 28, 2022
In deep learning-based maize leaf disease detection, a maize disease identification method called Network based on wavelet threshold-guided bilateral filtering, multi-channel ResNet, and attenuation factor (WG-MARNet) is proposed. This method can sol...
Neural Networks, Computer Plant Leaves Zea mays
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Deep learning-based approach for identification of diseases of maize crop.

Scientific reports Apr 15, 2022
In recent years, deep learning techniques have shown impressive performance in the field of identification of diseases of crops using digital images. In this work, a deep learning approach for identification of in-field diseased images of maize crop ...
Deep Learning India Zea mays Crops, Agricultural
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Weed Classification from Natural Corn Field-Multi-Plant Images Based on Shallow and Deep Learning.

Sensors (Basel, Switzerland) Apr 14, 2022
Crop and weed discrimination in natural field environments is still challenging for implementing automatic agricultural practices, such as weed control. Some weed control methods have been proposed. However, these methods are still restricted as they...
Neural Networks, Computer Deep Learning Plant Weeds Zea mays Weed Control
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The Challenge of Data Annotation in Deep Learning-A Case Study on Whole Plant Corn Silage.

Sensors (Basel, Switzerland) Feb 18, 2022
Recent advances in computer vision are primarily driven by the usage of deep learning, which is known to require large amounts of data, and creating datasets for this purpose is not a trivial task. Larger benchmark datasets often have detailed proces...
Deep Learning Zea mays Supervised Machine Learning Data Curation Silage
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Recognition of Maize Phenology in Sentinel Images with Machine Learning.

Sensors (Basel, Switzerland) Dec 24, 2021
The scarcity of water for agricultural use is a serious problem that has increased due to intense droughts, poor management, and deficiencies in the distribution and application of the resource. The monitoring of crops through satellite image process...
Machine Learning Algorithms Image Processing, Computer-Assisted Support Vector Machine Zea mays
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