AIMC Topic: Agriculture

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Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

BMC infectious diseases Nov 13, 2019
BACKGROUND: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT...
Humans Neural Networks, Computer Incidence Leptospirosis Linear Models Agriculture Climate Support Vector Machine Spatial Regression Iran
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Artificial neural network model to predict transport parameters of reactive solutes from basic soil properties.

Environmental pollution (Barking, Essex : 1987) Oct 10, 2019
Measurement of solute-transport parameters through soils for a wide range of solute- and soil-types is time-consuming, laborious, expensive and practically impossible. So, indirect methods for estimating the transport parameters by pedo-transfer func...
Bangladesh Solutions Clay Neural Networks, Computer Environmental Monitoring Soil Pollutants Soil Agriculture
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Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking.

Plant physiology Jul 22, 2019
Understanding the relationships between local environmental conditions and plant structure and function is critical for both fundamental science and for improving the performance of crops in field settings. Wind-induced plant motion is important in m...
Algorithms Phenotype Triticum Breeding Environment Wind Deep Learning Agriculture Motion Crops, Agricultural
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Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Strain NS-MIE from Agricultural Soil.

BioMed research international May 26, 2019
Numerous technologies and approaches have been used in the past few decades to remove hexavalent chromium (Cr[VI]) in wastewater and the environment. However, these conventional technologies are not economical and efficient in removing Cr(VI) at a ve...
Soil Phylogeny Agriculture Neural Networks, Computer Analysis of Variance Soil Pollutants Acinetobacter Chromium Biodegradation, Environmental
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Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques.

PloS one Apr 22, 2019
With the increasing competitiveness in the vine market, coupled with the increasing need for sustainable use of resources, strategies for improving farm management are essential. One such effective strategy is the implementation of precision agricult...
Remote Sensing Technology Color Vitis Photogrammetry Plant Diseases Hemiptera Agriculture Plant Leaves Robotics Animals Farms Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Remote Control of Greenhouse Vegetable Production with Artificial Intelligence-Greenhouse Climate, Irrigation, and Crop Production.

Sensors (Basel, Switzerland) Apr 16, 2019
The global population is increasing rapidly, together with the demand for healthy fresh food. The greenhouse industry can play an important role, but encounters difficulties finding skilled staff to manage crop production. Artificial intelligence (AI...
Humans Artificial Intelligence Agriculture Agricultural Irrigation Crop Production Carbon Dioxide Vegetables Climate
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Research on soil moisture prediction model based on deep learning.

PloS one Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Droughts Meteorology Water Agriculture Models, Theoretical Weather Groundwater Algorithms Reproducibility of Results Agricultural Irrigation Temperature Deep Learning Regression Analysis Soil China
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CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture.

Sensors (Basel, Switzerland) Mar 1, 2019
Intelligence has been considered as the major challenge in promoting economic potential and production efficiency of precision agriculture. In order to apply advanced deep-learning technology to complete various agricultural tasks in online and offli...
Algorithms Deep Learning Agriculture Neural Networks, Computer Machine Learning
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Field evaluation of an unmanned aerial vehicle (UAV) sprayer: effect of spray volume on deposition and the control of pests and disease in wheat.

Pest management science Feb 14, 2019
BACKGROUND: Unmanned aerial vehicles (UAVs) are a recently developed aerial spraying technology. However, the effect of spray volume variation on deposition and pesticide control efficacy is unknown. The effect of three UAV spray volumes (9.0, 16.8 a...
Plant Diseases Motor Vehicles Aphids Pest Control Agriculture Robotics Triticum Animals
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PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

PloS one Dec 20, 2018
Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown Planthopper (BPH) causes high levels of economic loss in Malaysia. Identification of BPH presence and...
Electronic Data Processing Agriculture Insect Control Algorithms Environmental Monitoring Humans Oryza Animals Malaysia Neural Networks, Computer Deep Learning Insecta Software Pattern Recognition, Automated
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