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Intelligent thermal image-based sensor for affordable measurement of crop canopy temperature
2021
Computers and Electronics in Agriculture
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In this article, the development of a sensor capable of automatically measuring the crop canopy temperature by means of a low-cost thermal camera and the implementation of artificial intelligence-based ...
A B S T R A C T Crop canopy temperature measurement is necessary for monitoring water stress indicators such as the Crop Water Stress Index (CWSI). ...
Acknowledgments The authors would like to acknowledge the support of Miriam Montoya Gómez in language assistance. ...
doi:10.1016/j.compag.2021.106319
fatcat:dpyxl2jsuba2tmsucxywvqezjq
A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops
2020
Agronomy
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The remote measurements of the water potential, soil moisture, evapotranspiration, canopy 3D structure, and vigour for water status estimation are presented in this comprehensive review. ...
This paper summarises the use of remote sensing for the estimation of water status in horticultural crops. ...
Acknowledgments: The authors would like to acknowledge the funding body Wine Australia, The University of Adelaide, and anonymous reviewers for their contribution. ...
doi:10.3390/agronomy10010140
fatcat:y67o66t3ubcozbq7rbffthc2n4
High-Throughput Phenotyping Methods for Breeding Drought-Tolerant Crops
2021
International Journal of Molecular Sciences
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Drought is a main factor limiting crop yields. ...
The recent rapid development of genomics tools has led to an increasing interest in phenomics, i.e., the study of phenotypic plant traits. ...
The authors thanks to lab members for their help and thanks to Kyung-Hwan Kim for giving this review a chance. ...
doi:10.3390/ijms22158266
pmid:34361030
pmcid:PMC8347144
fatcat:dxcvjtsrkfam7pgn77hqw3b23u
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
2021
Remote Sensing
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relevant vegetation features (mainly canopy cover and crop height) or for detecting different plant/crop stressors, such as nutrient content/deficiencies, water needs, weeds, and diseases. ...
The general goal was proposing UAV-based technological solutions for a better use of agricultural and forestry resources and more efficient production with relevant economic and environmental benefits. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13112139
fatcat:zbirrq37cjgxbpo5zooplm2jra
Crop Phenomics: Current Status and Perspectives
2019
Frontiers in Plant Science
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intelligent solutions for precision breeding. ...
Here, we provide an overview of crop phenomics research, focusing on two parts, from phenotypic data collection through various sensors to phenomics analysis. ...
For example, thermal sensors fitted to manned aircraft were used to measure canopy temperature (Deery et al., 2016; Rutkoski et al., 2016) . ...
doi:10.3389/fpls.2019.00714
pmid:31214228
pmcid:PMC6557228
fatcat:kzqj3nvh3ndqxnhmrlyiwcihna
Integrating Drone Technology into an Innovative Agrometeorological Methodology for the Precise and Real-Time Estimation of Crop Water Requirements
2021
Hydrology
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The innovative approach combines real spatial data, such as infrared canopy temperature, air temperature, air relative humidity, and thermal infrared image data, taken above the crop field using an aerial ...
of a specific crop at the field level, dynamically alerting/informing local farmers/agronomists of the irrigation necessity and additionally for potential risks concerning their fields. ...
Acknowledgments: We want to thank all the Department of Agriculture, Economics, and Veterinary Medicine of Trifylia, and especially the director of the Department, Antonios Paraskevopoulos, for their tremendous ...
doi:10.3390/hydrology8030131
fatcat:ws6aj4ey2nf2zhisgk7oi7wzni
Remote Sensing for Irrigation of Horticultural Crops
2017
Horticulturae
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Among managerial improvements, the authors highlighted the implementation of irrigation scheduling systems based on crop demand. ...
Painter and Carren [15] emphasized the importance of reducing water losses below the root zone, improving yield and crop quality, conserving the resource base, and lowering the risk of salinization of ...
[218] studied the application of quick techniques based on thermal imaging and visual-NIR spectroscopy for measuring WUE in millet. ...
doi:10.3390/horticulturae3020040
fatcat:4axxl4k5yfagbdca6sojbu2baq
High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement
2021
Phenomics
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These technologies provide precise measurements of desired traits among thousands of field-grown plants under diversified environments; this is a critical step towards selection of better performing lines ...
as to yield, disease resistance, and stress tolerance to accelerate crop improvement programs. ...
Thermal imaging allows determination of canopy temperature difference both in field and greenhouse. ...
doi:10.1007/s43657-020-00007-6
fatcat:kfqiivoas5hsjkjbfcha5546vq
A Review of Crop Water Stress Assessment Using Remote Sensing
2021
Remote Sensing
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This critical review highlights novel methods for evaluating crop water stress and its correlation with certain measurable parameters, investigated using remote-sensing systems. ...
They provide simple and timely solutions for a diverse set of ecological zones. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13204155
fatcat:c45g3mbppzhjnif6fjlvlkzac4
Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping
2017
Sensors
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In that same section, we also summarize the technological challenges in field-based phenotyping, namely: autonomous operation, plant imaging, and crop characterization in outdoor conditions. ...
Instead, our goal is to show that the architecture, the sensors, and the algorithms for imaging proposed here lend themselves to a reliable, accurate, and fast approach that can be successfully employed ...
Acknowledgments: This material is based upon work supported by the National Science Foundation under Award Number IIA-1355406 and IIA-1430427. ...
doi:10.3390/s17010214
pmid:28124976
pmcid:PMC5298785
fatcat:7m3en72lzbgn7b5hkg6sjcgn6m
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches
2021
Precision Agriculture
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AbstractAdvances in sensor miniaturization are increasing the global popularity of unmanned aerial vehicle (UAV)-based remote sensing applications in many domains of agriculture. ...
With the goal of identifying the gaps and examining the opportunities for UAV-based orchard management, this study also discusses the performance of emerging technologies and compare similar research providing ...
UAVs equipped with thermal sensors are capable of recording fruit-tree canopy temperatures which reveal the temperature differences in canopies under different conditions. ...
doi:10.1007/s11119-021-09813-y
fatcat:kq5gqg7vy5gzjemmuzthrqbrfm
Feasibility of Low-Cost Thermal Imaging for Monitoring Water Stress in Young and Mature Sweet Cherry Trees
2020
Applied Sciences
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The seasonal evolution of the temperature of the canopy (Tc) and the difference between Tc and air temperature (ΔT) were compared and three thermal indices were calculated: crop water stress index (CWSI ...
This paper outlines the potential applications of low-cost thermal imaging devices to evaluate the water status of young and mature sweet cherry trees (Prunus avium L.) submitted to water stress. ...
of Cartagena for letting them use their facilities to carry out the study. ...
doi:10.3390/app10165461
fatcat:3ezsvhawnjdv5i7fewoxkzo3ti
Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming
2021
Remote Sensing
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Measurement of plant characteristics is still the primary bottleneck in both plant breeding and crop management. ...
Meanwhile, computer vision and machine learning methodology have emerged as powerful tools for extracting useful biological information from image data. ...
[146] measured strawberry plant temperature, dry surface temperature (T dry ), wet surface temperature (T wet ) for a single point, and the whole plant area using a TIR sensor. ...
doi:10.3390/rs13030531
fatcat:yts5pbuq2zhwrm6rt6c6hmkyti
A Survey on Intelligent Agricultural Information Handling Methodologies
2019
Sustainability
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Still, at the beginning of the new century, there are ways and room for further vast improvements. ...
The term intelligent agriculture, or smart farming, typically involves the incorporation of computer science and information technologies into the traditional notion of farming. ...
[16] proposed a multi-sensor system that manages plant phenotypic data, which based on five sensor modules to measure crop canopy traits from agricultural terroirs. ...
doi:10.3390/su11123278
fatcat:cds5zgj7h5h2zaaclxlr654a2a
Advances in remote sensing of vegetation function and traits
2015
International Journal of Applied Earth Observation and Geoinformation
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The introduction sets the stage for thirteen Special Issue papers here that focus on novel approaches for exploiting current and future advancements in remote sensor technologies. ...
However, the translation of remote sensing signals into meaningful descriptors of vegetation function and traits is still associated with large uncertainties due to complex interactions between leaf, canopy ...
The reviewers are acknowledged for their excellent, constructive, and timely feedback, which significantly helped shape the content of the special issue. ...
doi:10.1016/j.jag.2015.06.001
fatcat:jmq3tyb6p5aixefy7o4fgehsry
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