AIMC Topic: Plant Weeds

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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...
Algorithms Deep Learning Agriculture Crops, Agricultural Satellite Imagery Weed Control Plant Weeds Remote Sensing Technology Aircraft
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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...
Zea mays Crops, Agricultural Support Vector Machine Seedlings Plant Weeds
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Testing the ability of unmanned aerial systems and machine learning to map weeds at subfield scales: a test with the weed Alopecurus myosuroides (Huds).

Pest management science May 21, 2019
BACKGROUND: It is important to map agricultural weed populations to improve management and maintain future food security. Advances in data collection and statistical methodology have created new opportunities to aid in the mapping of weed populations...
Geographic Mapping Weed Control Remote Sensing Technology Machine Learning Poaceae Plant Weeds United Kingdom
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Recognition pest by image-based transfer learning.

Journal of the science of food and agriculture Apr 22, 2019
BACKGROUND: Plant pests mainly refers to insects and mites that harm crops and products. There are a wide variety of plant pests, with wide distribution, fast reproduction and large quantity, which directly causes serious losses to crops. Therefore, ...
Machine Learning Animals Image Processing, Computer-Assisted Humans Neural Networks, Computer Plant Diseases Weed Control Pest Control Plant Weeds Insecta Crops, Agricultural
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Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields.

PloS one Apr 18, 2019
To reduce the cost of production and the pollution of the environment that is due to the overapplication of herbicide in paddy fields, the location information of rice seedlings and weeds must be detected in site-specific weed management (SSWM). With...
Plant Weeds Oryza Crop Production Image Processing, Computer-Assisted Seedlings Neural Networks, Computer
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Detection of broadleaf weeds growing in turfgrass with convolutional neural networks.

Pest management science Mar 8, 2019
BACKGROUND: Weed infestations reduce turfgrass aesthetics and uniformity. Postemergence (POST) herbicides are applied uniformly on turfgrass, hence areas without weeds are also sprayed. Deep learning, particularly the architecture of convolutional ne...
Neural Networks, Computer Deep Learning Plant Weeds Weed Control Cynodon
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Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination.

Sensors (Basel, Switzerland) Aug 23, 2018
, a smut fungus, is studied as an agent for the biological control of (milk thistle) weed. Confirmation of the systemic infection is essential in order to assess the effectiveness of the biological control application and assist decision-making. Non...
Plant Diseases Spectrum Analysis Basidiomycota Biological Control Agents Silybum marianum Neural Networks, Computer Algorithms Plant Weeds
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An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 12, 2018
Variable selection plays a key role in classification and multivariate calibration. Variable selection methods are aimed at choosing a set of variables, from a large pool of available predictors, relevant to the analyte concentrations estimation, or ...
Plant Weeds Least-Squares Analysis Triticum Wine Calibration Artificial Intelligence Algorithms Gasoline Introduced Species
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A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents.

Sensors (Basel, Switzerland) Aug 10, 2016
Many environmental incidents affect large areas, often in rough terrain constrained by natural obstacles, which makes intervention difficult. New technologies, such as unmanned aerial vehicles, may help address this issue due to their suitability to ...
Environmental Monitoring Robotics Plant Weeds Humans Software Wireless Technology Agriculture Aircraft Herbicides
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Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm.

Bioresource technology Apr 19, 2016
A novel approach to overcome the acidification problem has been attempted in the present study by codigesting industrial potato waste (PW) with Pistia stratiotes (PS, an aquatic weed). The effectiveness of codigestion of the weed and PW was tested in...
Analysis of Variance Plant Weeds Waste Products Fatty Acids, Volatile Reproducibility of Results Anaerobiosis Hydrogen-Ion Concentration Biotechnology Aquatic Organisms Models, Theoretical Solanum tuberosum Biofuels Neural Networks, Computer Regression Analysis Algorithms
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