Appraisal of Three Proximal Sensing Systems to Estimate Macronutrient Contents of Detached Soybean Leaves

Author(s):  
Muharrem Keskin ◽  
Sait M. Say ◽  
Yunus Emre Sekerli ◽  
Mustafa Sehri
Author(s):  
H. Aasen

UAVs are increasingly adapted as remote sensing platforms. Together with specialized sensors, they become powerful sensing systems for environmental monitoring and surveying. Spectral data has great capabilities to the gather information about biophysical and biochemical properties. Still, capturing meaningful spectral data in a reproducible way is not trivial. <br><br> Since a couple of years small and lightweight spectral sensors, which can be carried on small flexible platforms, have become available. With their adaption in the community, the responsibility to ensure the quality of the data is increasingly shifted from specialized companies and agencies to individual researchers or research teams. Due to the complexity of the data acquisition of spectral data, this poses a challenge for the community and standardized protocols, metadata and best practice procedures are needed to make data intercomparable. <br><br> In November 2016, the ESSEM COST action <i>Innovative optical Tools for proximal sensing of ecophysiological processes</i> (OPTIMISE; <a href=" http://optimise.dcs.aber.ac.uk/"target="_blank">http://optimise.dcs.aber.ac.uk/</a>) held a workshop on best practices for UAV spectral sampling. The objective of this meeting was to trace the way from particle to pixel and identify influences on the data quality / reliability, to figure out how well we are currently doing with spectral sampling from UAVs and how we can improve. Additionally, a survey was designed to be distributed within the community to get an overview over the current practices and raise awareness for the topic. This talk will introduce the approach of the OPTIMISE community towards best practises in UAV spectral sampling and present first results of the survey (<a href=" http://optimise.dcs.aber.ac.uk/uav-survey/"target="_blank">http://optimise.dcs.aber.ac.uk/uav-survey/</a>). <br><br> This contribution briefly introduces the survey and gives some insights into the first results given by the interviewees.


Insects ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Pedro P. S. Barros ◽  
Inana X. Schutze ◽  
Fernando H. Iost Filho ◽  
Pedro T. Yamamoto ◽  
Peterson R. Fiorio ◽  
...  

Although monitoring insect pest populations in the fields is essential in crop management, it is still a laborious and sometimes ineffective process. Imprecise decision-making in an integrated pest management program may lead to ineffective control in infested areas or the excessive use of insecticides. In addition, high infestation levels may diminish the photosynthetic activity of soybean, reducing their development and yield. Therefore, we proposed that levels of infested soybean areas could be identified and classified in a field using hyperspectral proximal sensing. Thus, the goals of this study were to investigate and discriminate the reflectance characteristics of soybean non-infested and infested with Bemisia tabaci using hyperspectral sensing data. Therefore, cages were placed over soybean plants in a commercial field and artificial whitefly infestations were created. Later, samples of infested and non-infested soybean leaves were collected and transported to the laboratory to obtain the hyperspectral curves. The results allowed us to discriminate the different levels of infestation and to separate healthy from whitefly infested soybean leaves based on their reflectance. In conclusion, these results show that hyperspectral sensing can potentially be used to monitor whitefly populations in soybean fields.


Author(s):  
Martin Peckerar ◽  
Anastasios Tousimis

Solid state x-ray sensing systems have been used for many years in conjunction with scanning and transmission electron microscopes. Such systems conveniently provide users with elemental area maps and quantitative chemical analyses of samples. Improvements on these tools are currently sought in the following areas: sensitivity at longer and shorter x-ray wavelengths and minimization of noise-broadening of spectral lines. In this paper, we review basic limitations and recent advances in each of these areas. Throughout the review, we emphasize the systems nature of the problem. That is. limitations exist not only in the sensor elements but also in the preamplifier/amplifier chain and in the interfaces between these components.Solid state x-ray sensors usually function by way of incident photons creating electron-hole pairs in semiconductor material. This radiation-produced mobile charge is swept into external circuitry by electric fields in the semiconductor bulk.


1995 ◽  
Author(s):  
S. D. Lockwood ◽  
D. Hardin ◽  
G. J. Miller ◽  
C. Meesuk ◽  
P. R. Straus

2006 ◽  
Author(s):  
Henrik Schmidt ◽  
John J. Leonard ◽  
David Battle

Crop Science ◽  
1984 ◽  
Vol 24 (3) ◽  
pp. 614-616 ◽  
Author(s):  
Joseph T. Woolley ◽  
Robert A. Alfich ◽  
Eric A. Larson

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