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Plant Phenotyping with Low Cost Digital Cameras and Image Analytics [chapter]

Sotirios A Tsaftaris, Christos Noutsos
2009 Information Technologies in Environmental Engineering  
In this paper we discuss a prototype, easy-to-deploy, and low cost (~ $250) phenotype collection system for growth chambers.  ...  Low cost genotyping and phenotyping will hopefully address some of the environmental, agricultural, and industrial sustainability challenges we are facing today. I.N.  ...  Borevitz (Department of Ecology and Evolution at University of Chicago) for providing us with the images and initial funding for this effort.  ... 
doi:10.1007/978-3-540-88351-7_18 dblp:conf/itee/TsaftarisN09 fatcat:l7nbjiyno5ckncuijg6pvvufpa

Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey

Jia Liu, Jianjian Xiang, Yongjun Jin, Renhua Liu, Jining Yan, Lizhe Wang
2021 Remote Sensing  
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-effective technology to capture high spatial and temporal resolution remote sensing (RS) images for a wide range of precision  ...  Cloud computing can increase processing efficiency with high scalability and low cost, but results in high latency and great pressure on the network bandwidth.  ...  Sensors Major Characteristics Typical Applications RGB imaging obtain images in visible spectrum, with advantages of high-resolution, lightweight, low-cost, easy-to-use crop recognition, plants defects  ... 
doi:10.3390/rs13214387 fatcat:amrm5blon5hmhnk7arme2vsqwq

Images carried before the fire: The power, promise, and responsibility of latent phenotyping in plants

Mitchell J. Feldmann, Joseph L. Gage, Sarah D. Turner‐Hissong, Jordan R. Ubbens
2021 tppj  
Cameras and other sensors have made high-throughput phenotyping possible, but image-based phenotyping procedures involve a step where a researcher selects the traits to be measured.  ...  Understanding the genetic basis of plant traits requires comprehensive and quantitative descriptions of the phenotypic variation that exists within populations.  ...  In general, conventional image and sensor-based phenotyping strategies are highly interpretable, can reduce time and cost relative to their hand-measured counterparts, and enable opportunities for greater  ... 
doi:10.1002/ppj2.20023 fatcat:jibo4vflezabxe7p2keixfk2zu

Resources for image-based high throughput phenotyping in crops and data sharing challenges

Monica F Danilevicz, Philipp E Bayer, Benjamin J Nestor, Mohammed Bennamoun, David Edwards
2021 Plant Physiology  
In this review, we describe the use of image-based HTP for yield prediction, root phenotyping, development of climate-resilient crops, detecting pathogen and pest infestation and quantitative trait measurement  ...  High throughput phenotyping (HTP) platforms are capable of monitoring the phenotypic variation of plants through multiple types of sensors such as RGB cameras, hyperspectral sensors and computed tomography  ...  Biosystems Engineering 194: 152-164 1230 Rascio A, Santis GD, Sorrentino G (2020) A Low-Cost Method for Phenotyping 1231 Wilting and Recovery of Wheat Leaves under Heat Stress Using Semi-1232 Automated  ... 
doi:10.1093/plphys/kiab301 pmid:34608963 pmcid:PMC8561249 fatcat:n3xbdcw635fc3oldmbcbvagp7a

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 7970-7983 Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis.  ...  Graph Transform Optimization With Application to Image Compression. Fracastoro, G., +, TIP 2020 419-432 Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Ionomics and the Study of the Plant Ionome

David E. Salt, Ivan Baxter, Brett Lahner
2008 Annual Review of Plant Biology  
The relatively high throughput and low cost of ionomic analysis means that it has the potential to provide a powerful approach to not only the functional analysis of the genes and gene networks that directly  ...  In this review we describe the analytical and bioinformatics aspects of ionomics, as well as its application as a functional genomics tool. 709 Annu. Rev. Plant Biol. 2008.59:709-733.  ...  Recently, XRF microtomography and confocal imaging were also used for quantitative imaging of the threedimensional distribution of multiple elements in various plant samples (32, 35, 38, 55 ) (e.g., XRF  ... 
doi:10.1146/annurev.arplant.59.032607.092942 pmid:18251712 fatcat:wjukhwtspbdffp4r52ajmogfbq

Measures for interoperability of phenotypic data: minimum information requirements and formatting

Hanna Ćwiek-Kupczyńska, Thomas Altmann, Daniel Arend, Elizabeth Arnaud, Dijun Chen, Guillaume Cornut, Fabio Fiorani, Wojciech Frohmberg, Astrid Junker, Christian Klukas, Matthias Lange, Cezary Mazurek (+14 others)
2016 Plant Methods  
We provide a document called "Minimum Information About a Plant Phenotyping Experiment", which specifies what information about each experiment should be given, and a Phenotyping Configuration for the  ...  Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting  ...  Acknowledgements We are grateful to all partners of the supporting projects for useful discussions, and to anonymous reviewers for helpful comments.  ... 
doi:10.1186/s13007-016-0144-4 pmid:27843484 pmcid:PMC5103589 fatcat:cezglczy6zcmzf66ikd4r6xdya

The Emerging Role of Decellularized Plant-Based Scaffolds as a New Biomaterial

Ashlee F. Harris, Jerome Lacombe, Frederic Zenhausern
2021 International Journal of Molecular Sciences  
unique biomaterial and drive their use for specific downstream applications.  ...  These vegetal tissues can be sourced from plant leaves and stems or fruits and vegetables, making them a low-cost, accessible, and sustainable resource from which to generate three-dimensional scaffolds  ...  Acknowledgments: We thank Kurt Gustin of the Biomedical Imaging Core at the UA College of Medicine-Phoenix for providing epifluorescence imaging services.  ... 
doi:10.3390/ijms222212347 pmid:34830229 pmcid:PMC8625747 fatcat:xozkxlizwrfq7gi5jsluibu55e

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

Sameer Qazi, Bilal A. Khawaja, Qazi U. Farooq
2022 IEEE Access  
This enables efficient management of resources like minimizing water requirements for irrigation and minimizing the use of toxic pesticides.  ...  This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors to remotely monitor and report conditions  ...  [85] have fused multi-spectral imaging with ML for plant salt stress phenotyping. F.  ... 
doi:10.1109/access.2022.3152544 fatcat:yt7adpdatrcpra4zhfegj5asaq

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

Vasit Sagan, Maitiniyazi Maimaitijiang, Paheding Sidike, Kevin Eblimit, Kyle Peterson, Sean Hartling, Flavio Esposito, Kapil Khanal, Maria Newcomb, Duke Pauli, Rick Ward, Felix Fritschi (+2 others)
2019 Remote Sensing  
There are several thermal camera systems in the market that are available at a low cost. However, their efficacy and accuracy in various applications has not been tested.  ...  this technology, especially for precision agriculture and plant phenotyping.  ...  Acknowledgments: The authors thank Phoenix Drone Services for thermoMap UAV imagery and field data collection.  ... 
doi:10.3390/rs11030330 fatcat:kftqwobut5bmvdgelfo7ek2u5a

A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock

James E. Koltes, John B. Cole, Roxanne Clemmens, Ryan N. Dilger, Luke M. Kramer, Joan K. Lunney, Molly E. McCue, Stephanie D. McKay, Raluca G. Mateescu, Brenda M. Murdoch, Ryan Reuter, Caird E. Rexroad (+7 others)
2019 Frontiers in Genetics  
Critical needs for investments in infrastructure for people (e.g., "big data" training), data (e.g., data transfer, management, and analytics), and technology (e.g., development of low cost sensors) were  ...  Drastic cost reductions in sequencing and other omics technology have also facilitated the ability for deep phenotyping of livestock at the molecular level.  ...  ., data transfer), and technology (e.g., development of low cost sensors).  ... 
doi:10.3389/fgene.2019.01197 pmid:31921279 pmcid:PMC6934059 fatcat:j6gwvgcf3vcdbbr4hvhnnwx7zq


2020 Procedia Computer Science  
Saini . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1761 Optimized Bit Matrix based Power Aware Load Distribution Policy for Federated  ...  Dahiya . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1421 Low Quantum Cost Realization of Reversible Binary-Coded-Decimal Adder Sheba Diamond Thabah, and Prabir  ... 
doi:10.1016/s1877-0509(20)30921-2 fatcat:xnxj5wtx5fcnvl4ekervontxve

New Technologies for 21st Century Plant Science

D. W. Ehrhardt, W. B. Frommer
2012 The Plant Cell  
In 2009, a committee of the National Academy highlighted the "understanding of plant growth" as one of the big challenges for society and part of a new era which they termed "new biology."  ...  We assess where we stand today regarding current technologies, with an emphasis on molecular and imaging technologies, and we try to address questions about where we may go in the future and whether we  ...  While many of these tools are created with protein modules evolved in plants, we are not aware of their application in plant cells to date.  ... 
doi:10.1105/tpc.111.093302 pmid:22366161 pmcid:PMC3315222 fatcat:jnnq3wd3fva3jlocgzwggfee5e

Challenges in imaging and predictive modeling of rhizosphere processes

T. Roose, S. D. Keyes, K. R. Daly, A. Carminati, W. Otten, D. Vetterlein, S. Peth
2016 Plant and Soil  
Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil.  ...  Plant-soil interaction is central to human food production and ecosystem function.  ...  WO would like to acknowledge NERC funding (NE/H01263X/1) and support from the Scottish Alliance for Geoscience, Environment and Society (SAGES).  ... 
doi:10.1007/s11104-016-2872-7 fatcat:mbqhxgylsvfpxpv2gx2rnwywmi

A Review of Deep Learning in Multiscale Agricultural Sensing

Dashuai Wang, Wujing Cao, Fan Zhang, Zhuolin Li, Sheng Xu, Xinyu Wu
2022 Remote Sensing  
images, in which rich crop information is compressed.  ...  More and more agricultural scientists are paying attention to applications of deep learning in image-based farmland observations, such as land mapping, crop classification, biotic/abiotic stress monitoring  ...  The use of CNN-SL for developing low cost, general purpose, automatic, and accurate plant disease and pest classification and quantification algorithms has been explored extensively in recent years [38  ... 
doi:10.3390/rs14030559 fatcat:fcgpljr2tfhpjd3nvmi3kgp3bq
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