Search Results - "Plant methods"

PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes by Qu, Xiao-Jian, Moore, Michael J, Li, De-Zhu, Yi, Ting-Shuang

“…Plastome (plastid genome) sequences provide valuable information for understanding the phylogenetic relationships and evolutionary history of plants. Although…”
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Plant diseases and pests detection based on deep learning: a review by Liu, Jun, Wang, Xuewei

“…Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means…”
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AI-powered banana diseases and pest detection by Selvaraj, Michael Gomez, Vergara, Alejandro, Ruiz, Henry, Safari, Nancy, Elayabalan, Sivalingam, Ocimati, Walter, Blomme, Guy

“…Banana (Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide,…”
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Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data by Han, Liang, Yang, Guijun, Dai, Huayang, Xu, Bo, Yang, Hao, Feng, Haikuan, Li, Zhenhai, Yang, Xiaodong

“…Above-ground biomass (AGB) is a basic agronomic parameter for field investigation and is frequently used to indicate crop growth status, the effects of…”
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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress by Lowe, Amy, Harrison, Nicola, French, Andrew P

“…This review explores how imaging techniques are being developed with a focus on deployment for crop monitoring methods. Imaging applications are discussed in…”
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Plant disease identification using explainable 3D deep learning on hyperspectral images by Nagasubramanian, Koushik, Jones, Sarah, Singh, Asheesh K, Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar

“…Hyperspectral imaging is emerging as a promising approach for plant disease identification. The large and possibly redundant information contained in…”
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advantages and limitations of trait analysis with GWAS: a review by Korte, Arthur, Farlow, Ashley

“…Over the last 10 years, high-density SNP arrays and DNA re-sequencing have illuminated the majority of the genotypic space for a number of organisms, including…”
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Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields by Gao, Junfeng, French, Andrew P, Pound, Michael P, He, Yong, Pridmore, Tony P, Pieters, Jan G

“…(hedge bindweed) detection in sugar beet fields remains a challenging problem due to variation in appearance of plants, illumination changes, foliage…”
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The use of plant models in deep learning: an application to leaf counting in rosette plants by Ubbens, Jordan, Cieslak, Mikolaj, Prusinkiewicz, Przemyslaw, Stavness, Ian

“…Deep learning presents many opportunities for image-based plant phenotyping. Here we consider the capability of deep convolutional neural networks to perform…”
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Semi-supervised few-shot learning approach for plant diseases recognition by Li, Yang, Chao, Xuewei

“…Abstract Background Learning from a few samples to automatically recognize the plant leaf diseases is an attractive and promising study to protect the…”
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Detection and analysis of wheat spikes using Convolutional Neural Networks by Hasan, Md Mehedi, Chopin, Joshua P, Laga, Hamid, Miklavcic, Stanley J

“…Field phenotyping by remote sensing has received increased interest in recent years with the possibility of achieving high-throughput analysis of crop fields…”
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High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel by Ge, Yufeng, Atefi, Abbas, Zhang, Huichun, Miao, Chenyong, Ramamurthy, Raghuprakash Kastoori, Sigmon, Brandi, Yang, Jinliang, Schnable, James C

“…Hyperspectral reflectance data in the visible, near infrared and shortwave infrared range (VIS-NIR-SWIR, 400-2500 nm) are commonly used to nondestructively…”
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A survey of few-shot learning in smart agriculture: developments, applications, and challenges by Yang, Jiachen, Guo, Xiaolan, Li, Yang, Marinello, Francesco, Ercisli, Sezai, Zhang, Zhuo

“…With the rise of artificial intelligence, deep learning is gradually applied to the field of agriculture and plant science. However, the excellent performance…”
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Measuring crops in 3D: using geometry for plant phenotyping by Paulus, Stefan

“…Using 3D sensing for plant phenotyping has risen within the last years. This review provides an overview on 3D traits for the demands of plant phenotyping…”
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Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model by Liu, Jun, Wang, Xuewei

“…Tomato gray leaf spot is a worldwide disease, especially in warm and humid areas. The continuous expansion of greenhouse tomato cultivation area and the…”
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Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods by Zhang, Juanjuan, Cheng, Tao, Guo, Wei, Xu, Xin, Qiao, Hongbo, Xie, Yimin, Ma, Xinming

“…To accurately estimate winter wheat leaf area index (LAI) using unmanned aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring,…”
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Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system by Lu, Ning, Zhou, Jie, Han, Zixu, Li, Dong, Cao, Qiang, Yao, Xia, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Cheng, Tao

“…Aboveground biomass (AGB) is a widely used agronomic parameter for characterizing crop growth status and predicting grain yield. The rapid and accurate…”
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Plant phenotyping: from bean weighing to image analysis by Walter, Achim, Liebisch, Frank, Hund, Andreas

“…Plant phenotyping refers to a quantitative description of the plant's anatomical, ontogenetical, physiological and biochemical properties. Today, rapid…”
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Deep phenotyping: deep learning for temporal phenotype/genotype classification by Taghavi Namin, Sarah, Esmaeilzadeh, Mohammad, Najafi, Mohammad, Brown, Tim B, Borevitz, Justin O

“…High resolution and high throughput genotype to phenotype studies in plants are underway to accelerate breeding of climate ready crops. In the recent years,…”
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Segmentation of roots in soil with U-Net by Smith, Abraham George, Petersen, Jens, Selvan, Raghavendra, Rasmussen, Camilla Ruø

“…Plant root research can provide a way to attain stress-tolerant crops that produce greater yield in a diverse array of conditions. Phenotyping roots in soil is…”
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