AIMC Topic: Crops, Agricultural

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A novel semi-supervised framework for UAV based crop/weed classification.

PloS one May 10, 2021
Excessive use of agrochemicals for weed controlling infestation has serious agronomic and environmental repercussions associated. An appropriate amount of pesticide/ chemicals is essential for achieving the desired smart farming and precision agricul...
Satellite Imagery Weed Control Agriculture Plant Weeds Aircraft Crops, Agricultural Remote Sensing Technology Algorithms Deep Learning
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Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields.

PloS one Mar 25, 2021
Crop yield monitoring demonstrated the potential to improve agricultural productivity through improved crop breeding, farm management and commodity planning. Remote and proximal sensing offer the possibility to cut crop monitoring costs traditionally...
Machine Learning Biomass Bayes Theorem Crops, Agricultural Sorghum Chlorophyll Remote Sensing Technology Seasons
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AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild.

Sensors (Basel, Switzerland) Feb 25, 2021
The recent explosion of large volume of standard dataset of annotated images has offered promising opportunities for deep learning techniques in effective and efficient object detection applications. However, due to a huge difference of quality betwe...
Agriculture Crops, Agricultural Pest Control Deep Learning
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sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks.

Plant molecular biology Jan 1, 2021
We proposed an ensemble convolutional neural network model to identify sgRNA high on-target activity in four crops and we used one-hot encoding and k-mers for sequence encoding. As an important component of the CRISPR/Cas9 system, single-guide RNA (s...
Sorghum Gene Editing Glycine max HCT116 Cells HEK293 Cells CRISPR-Cas Systems Algorithms Triticum Computational Biology RNA, Guide, CRISPR-Cas Systems HeLa Cells Zea mays Crops, Agricultural Internet Humans Neural Networks, Computer
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Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine.

Sensors (Basel, Switzerland) Dec 31, 2020
Detection of weeds and crops is the key step for precision spraying using the spraying herbicide robot and precise fertilization for the agriculture machine in the field. On the basis of k-mean clustering image segmentation using color information an...
Seedlings Plant Weeds Crops, Agricultural Zea mays Support Vector Machine
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Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data.

Journal of plant physiology Dec 29, 2020
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of the breeding cycle in major crops relevant for sustaining present demands for food, feed, and fuel. In contrast to classical approaches that emphasize the n...
Machine Learning Genome, Plant Plant Breeding Genomics Genotype Phenotype Crops, Agricultural Big Data
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Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops.

Sensors (Basel, Switzerland) Dec 29, 2020
In agriculture, early detection of plant stresses is advantageous in preventing crop yield losses. Remote sensors are increasingly being utilized for crop health monitoring, offering non-destructive, spatialized detection and the quantification of pl...
Plant Diseases Remote Sensing Technology Crops, Agricultural Artificial Intelligence Agriculture Environmental Monitoring
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Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping.

Trends in plant science Aug 20, 2020
Plant stress phenotyping is essential to select stress-resistant varieties and develop better stress-management strategies. Standardization of visual assessments and deployment of imaging techniques have improved the accuracy and reliability of stres...
Reproducibility of Results Crops, Agricultural Machine Learning Phenotype
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UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.

Sensors (Basel, Switzerland) Apr 29, 2020
Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific management practices. To achieve this objective, a reliable and updated descr...
Satellite Imagery Plant Leaves Seasons Remote Sensing Technology Italy Farms Crops, Agricultural Agriculture Neural Networks, Computer Machine Learning
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Deep learning for automated detection of Drosophila suzukii: potential for UAV-based monitoring.

Pest management science Apr 20, 2020
BACKGROUND: The fruit fly Drosophila suzukii, or spotted wing drosophila (SWD), is a serious pest worldwide, attacking many soft-skinned fruits. An efficient monitoring system that identifies and counts SWD in crops and their surroundings is therefor...
Female Animals Male Humans Crops, Agricultural Deep Learning Drosophila Fruit Insect Control
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