AIMC Topic: Crops, Agricultural

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Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.

GigaScience Jan 1, 2019
Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here, we review the emerging aspects of computer vision for automated plant phenotyping. Recent a...
Phenotype Remote Sensing Technology Crops, Agricultural Plant Breeding Neural Networks, Computer Machine Learning
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A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties.

Environmental science and pollution research international Oct 24, 2018
Heavy metal pollution is a global ecological safety issue, especially in crops, where it directly threatens regional ecological security and human health. In this study, the back-propagation (BP) neural network optimized by the genetic algorithm (GA)...
Soil Pollutants Oryza Cadmium China Food Contamination Seeds Neural Networks, Computer Algorithms Soil Crops, Agricultural
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Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors.

Sensors (Basel, Switzerland) Sep 25, 2018
Near-infrared (NIR) spectral sensors deliver the spectral response of the light absorbed by materials for quantification, qualification or identification. Spectral analysis technology based on the NIR sensor has been a useful tool for complex informa...
Crops, Agricultural Geographic Mapping Nicotiana Data Analysis Spectroscopy, Near-Infrared Support Vector Machine
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Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.

PLoS computational biology Jul 30, 2018
The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. ...
Humans Machine Learning Image Processing, Computer-Assisted Internet Data Accuracy Algorithms Phenotype Pilot Projects Crops, Agricultural Food Supply Crowdsourcing
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Robotic bees for crop pollination: Why drones cannot replace biodiversity.

The Science of the total environment Jun 14, 2018
The notion that robotic crop pollination will solve the decline in pollinators has gained wide popularity recently (Fig. 1), and in March 2018 Walmart filed a patent for autonomous robot bees. However, w present six arguments showing that this is a t...
Pollination Biodiversity Bees Crops, Agricultural Animals Ecosystem Robotics Aircraft
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Vineyard water status assessment using on-the-go thermal imaging and machine learning.

PloS one Feb 1, 2018
The high impact of irrigation in crop quality and yield in grapevine makes the development of plant water status monitoring systems an essential issue in the context of sustainable viticulture. This study presents an on-the-go approach for the estima...
Crops, Agricultural Agricultural Irrigation Wine Vitis Dehydration Machine Learning Algorithms Computer Simulation
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An ultrasensitive electrochemical immunosensor for Cry1Ab based on phage displayed peptides.

Talanta Nov 22, 2017
The rapid and widespread adoption of Bacillus thuringiensis (Bt) proteins in genetically modified (GM) crops has raised concerns about the impact of GM crops on environment and food safety. A sensitive and specific method for detecting Bt proteins in...
Bacillus thuringiensis Biosensing Techniques Peptide Library Bacillus thuringiensis Toxins Antibodies, Monoclonal Biological Variation, Individual Hemolysin Proteins Limit of Detection Plants, Genetically Modified Gene Expression Protein Isoforms Zea mays Transgenes Insecticides Electrochemical Techniques Bacterial Proteins Crops, Agricultural Gold Immunoassay Endotoxins Metal Nanoparticles Electrodes
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Effects and inhibition mechanism of phenazine-1-carboxamide on the mycelial morphology and ultrastructure of Rhizoctonia solani.

Pesticide biochemistry and physiology Oct 24, 2017
The purpose of this research was to explore the effect of phenazine-1-carboxamide (PCN) on Rhizoctonia solani and to elucidate its mechanisms of action. The toxicity of PCN to R. solani was measured using a growth rate method. The results indicated t...
Chitin Synthase Plant Diseases Electron Transport Complex I Microscopy, Electron, Scanning Mitochondria Rhizoctonia Mycelium Microscopy, Electron, Transmission Cell Wall Real-Time Polymerase Chain Reaction Genes, Fungal Crops, Agricultural Plant Roots Phenazines Antifungal Agents
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Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra.

Molecular plant Apr 28, 2017
Harnessing natural variation in photosynthetic capacity is a promising route toward yield increases, but physiological phenotyping is still too laborious for large-scale genetic screens. Here, we evaluate the potential of leaf reflectance spectroscop...
Machine Learning Phenotype Phylogeny Plant Leaves Crops, Agricultural Photosynthesis
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Fuzzy logic applied to prospecting for areas for installation of wood panel industries.

Journal of environmental management Feb 24, 2017
Prospecting for suitable areas for forestry operations, where the objective is a reduction in production and transportation costs, as well as the maximization of profits and available resources, constitutes an optimization problem. However, fuzzy log...
Crops, Agricultural Forestry Fuzzy Logic Wood Eucalyptus
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