AIMC Topic: Agriculture

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SmartSpectrometer-Embedded Optical Spectroscopy for Applications in Agriculture and Industry.

Sensors (Basel, Switzerland) Jun 30, 2021
The ongoing digitization of industry and agriculture can benefit significantly from optical spectroscopy. In many cases, optical spectroscopy enables the estimation of properties such as substance concentrations and compositions. Spectral data can be...
Automation Industry Artificial Intelligence Agriculture Spectrum Analysis
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3D Reconstruction of Non-Rigid Plants and Sensor Data Fusion for Agriculture Phenotyping.

Sensors (Basel, Switzerland) Jun 15, 2021
Technology has been promoting a great transformation in farming. The introduction of robotics; the use of sensors in the field; and the advances in computer vision; allow new systems to be developed to assist processes, such as phenotyping, of crop's...
Zea mays Agriculture Robotics Farms Imaging, Three-Dimensional
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The Concept of the Constructional Solution of the Working Section of a Robot for Harvesting Strawberries.

Sensors (Basel, Switzerland) Jun 7, 2021
Strawberry fruits are products of high commercial and consumption value, and, at the same time, they are difficult to harvest due to their very low mechanical strength and difficulties in identifying them within the bush. Therefore, robots collecting...
Agriculture Crops, Agricultural Fragaria Robotics Fruit
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Graph Regularized Flow Attention Network for Video Animal Counting From Drones.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 3, 2021
In this paper, we propose a large-scale video based animal counting dataset collected by drones (AnimalDrone) for agriculture and wildlife protection. The dataset consists of two subsets, i.e., PartA captured on site by drones and PartB collected fro...
Animals Crowding Animals, Wild Algorithms Databases, Factual Artificial Intelligence Data Collection Image Processing, Computer-Assisted Video Recording Agriculture
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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...
Plant Weeds Remote Sensing Technology Deep Learning Aircraft Agriculture Satellite Imagery Crops, Agricultural Algorithms Weed Control
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Real-time recognition of spraying area for UAV sprayers using a deep learning approach.

PloS one Apr 1, 2021
Agricultural production is vital for the stability of the country's economy. Controlling weed infestation through agrochemicals is necessary for increasing crop productivity. However, its excessive use has severe repercussions on the environment (dam...
Agriculture Humans Aircraft Deep Learning Remote Sensing Technology Weed Control
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Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages.

PloS one Mar 31, 2021
The purposes are to monitor the nitrogen utilization efficiency of crops and intelligently evaluate the absorption of nutrients by crops during the production process. The research object is Chinese cabbage. The Chinese cabbage population with differ...
Brassica Seeds Regression Analysis Plant Leaves Nitrogen Image Processing, Computer-Assisted Agriculture Neural Networks, Computer Algorithms
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Concept and Realization of a Novel Test Method Using a Dynamic Test Stand for Detecting Persons by Sensor Systems on Autonomous Agricultural Robotics.

Sensors (Basel, Switzerland) Mar 26, 2021
As an essential part for the development of autonomous agricultural robotics, the functional safety of autonomous agricultural machines is largely based on the functionality and robustness of non-contact sensor systems for human protection. This arti...
Agriculture Robotics Humans Industry
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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 Deep Learning Pest Control
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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...
Remote Sensing Technology Plant Diseases Agriculture Artificial Intelligence Crops, Agricultural Environmental Monitoring
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