AIMC Topic: Zea mays

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Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition.

Amino acids Mar 9, 2024
The mutant matrilineal (mtl) gene encoding patatin-like phospholipase activity is involved in in-vivo maternal haploid induction in maize. Doubling of chromosomes in haploids by colchicine treatment leads to complete fixation of inbreds in just one g...
Peptides Haploidy Phospholipases Zea mays Support Vector Machine
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A quality detection method of corn based on spectral technology and deep learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 27, 2023
Corn is an important food crop in the world. With economic development and population growth, the nutritional quality of corn is of great significance to high-quality breeding, scientific cultivation and fine management. Aiming at the problems of cum...
Deep Learning Support Vector Machine Technology Algorithms Zea mays Principal Component Analysis Seeds Bayes Theorem
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Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress.

Scientific reports Sep 23, 2023
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy damage leading to yield reduction in maize. Therefore, the identification of resistant genes paves the way to the development of disease-resistant cultivars a...
Zea mays Bayes Theorem Artificial Intelligence Transcriptome Algorithms
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Enhancing corn stalk-based anaerobic digestion with different types of zero-valent iron added during the acidification stage: Performance and mechanism.

Journal of environmental sciences (China) Aug 5, 2023
Anaerobic digestion has been defined as a competitive approach to facilitate the recycling of corn stalks. However, few studies have focused on the role of direct interspecies electron transfer (DIET) pathway in the acidification stage under the addi...
Methane Iron Anaerobiosis Bioreactors Zea mays Fatty Acids, Volatile
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Early Identification of Root Damages Caused by Western Corn Rootworms Using a Minimally Invasive Root Phenotyping Robot-MISIRoot.

Sensors (Basel, Switzerland) Jun 28, 2023
Western corn rootworm (WCR) is one of the most devastating corn rootworm species in North America because of its ability to cause severe production loss and grain quality damage. To control the loss, it is important to identify the infection of WCR a...
Zea mays Coleoptera Plant Roots Animals Robotics Larva
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Prediction of Soil Water-Soluble Organic Matter by Continuous Use of Corn Biochar Using Three-Dimensional Fluorescence Spectra and Deep Learning.

Computational intelligence and neuroscience Mar 6, 2023
The purpose is to study the soil's water-soluble organic matter and improve the utilization rate of the soil layer. This exploration is based on the theories of three-dimensional fluorescence spectroscopy, deep learning, and biochar. Chernozem in Har...
Deep Learning Nitrogen Soil Carbon Zea mays Fluorescence Water
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UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.

Sensors (Basel, Switzerland) Feb 6, 2023
Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI (a blend of geospatial and artificial intelligence (AI) research) are the main highlights among agricultural innovations to improve crop productivity and thus secur...
Nitrogen Unmanned Aerial Devices Edible Grain Artificial Intelligence Zea mays Deep Learning
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Y-Net: Identification of Typical Diseases of Corn Leaves Using a 3D-2D Hybrid CNN Model Combined with a Hyperspectral Image Band Selection Module.

Sensors (Basel, Switzerland) Jan 29, 2023
Corn diseases are one of the significant constraints to high-quality corn production, and accurate identification of corn diseases is of great importance for precise disease control. Corn anthracnose and brown spot are typical diseases of corn, and t...
Zea mays Neural Networks, Computer
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Research On Maize Disease Identification Methods In Complex Environments Based On Cascade Networks And Two-Stage Transfer Learning.

Scientific reports Nov 7, 2022
Achieving accurate and reliable maize disease identification in complex environments is a huge challenge. This is because disease images obtained from natural environments are often in complex contexts that may contain elements similar to disease cha...
Zea mays Machine Learning
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Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction.

Computational intelligence and neuroscience Aug 10, 2022
Corn has great importance in terms of production in the field of agriculture and animal feed. Obtaining pure corn seeds in corn production is quite significant for seed quality. For this reason, the distinction of corn seeds that have numerous variet...
Algorithms Computers Neural Networks, Computer Zea mays Bayes Theorem Support Vector Machine
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