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Emerging Technologies to Conserve Biodiversity

Stuart L. Pimm, Sky Alibhai, Richard Bergl, Alex Dehgan, Chandra Giri, Zoë Jewell, Lucas Joppa, Roland Kays, Scott Loarie
2015 Trends in Ecology & Evolution  
For example, improving technologies alone cannot prevent poaching: solutions require providing appropriate tools to the right people.  ...  Other challenges include assembling a wider public to crowdsource data, managing the massive quantities of data generated, and developing solutions to rapidly emerging threats.  ...  Crowdsourcing can similarly work for species identification. If a hundred people agree that a particular image is of a bobcat, we can be confident in the identification.  ... 
doi:10.1016/j.tree.2015.08.008 pmid:26437636 fatcat:4m66aitjsvd45fauowofpfkrnm

Volunteered Geographic Information System and Its Contribution in Service Sector Employment [chapter]

N N Ramaprasad, Priya Narayanan
2019 Geographic Information Systems [Working Title]  
The web GIS facilitated service sector employment, which provides service at doorsteps, hence creating a scope of opportunities for young entrepreneurs.  ...  Figure 1 . 1 Structure of smartphone-based geographical locational service [1] .  ...  They can further be augmented by smartphone-based apps to explore and protect the natural resources leading to sustainable development. The urge for reliable information is growing day by day.  ... 
doi:10.5772/intechopen.82004 fatcat:ymrh35h5kzazhlp6othadcawqy

A Survey on Mobile Applications for Smart Agriculture

Isaac Nyabisa Oteyo, Matteo Marra, Stephen Kimani, Wolfgang De Meuter, Elisa Gonzalez Boix
2021 SN Computer Science  
Different studies in the literature classify these applications based on agricultural themes, agricultural domains, and farming scenarios.  ...  In this survey, we explore SAAs and further classify them based on architectural models, supported software engineering issues, and target mobile platforms.  ...  Acknowledgements This work is supported by the Legumes Centre for Food and Nutrition Security (LCEFoNS) programme which is funded by VLIR-UOS.  ... 
doi:10.1007/s42979-021-00700-x fatcat:hnhsq2uq7fcrpcx7t36yijimu4

Integrated pest management for resource-limited farmers: challenges for achieving ecological, social and economic sustainability

D. G. Bottrell, K. G. Schoenly
2018 Journal of Agricultural Science  
Use of information technology, media development, crowdsourcing and rural sociology is advocated to connect farmers to the technical sources required to enhance yields and profits and reduce risks to them  ...  The present paper examines the concept of integration in IPM and criteria for determining whether its control tactics have been integrated harmoniously.  ...  The current authors advocate the use of information technology (e.g. broadband apps for smartphones), media development, crowdsourcing and rural sociology to connect farmers to the technical sources.  ... 
doi:10.1017/s0021859618000473 fatcat:nfzzqny5yneu5p6oezhbltvjcy

Geographic Information and Communication Technologies for Supporting Smallholder Agriculture and Climate Resilience

Billy Haworth, Eloise Biggs, John Duncan, Nathan Wales, Bryan Boruff, Eleanor Bruce
2018 Climate  
We analysed recent ICT initiatives for communicating climate and agriculture-related information to smallholders for improved livelihoods and climate change adaptation.  ...  Through the critical analysis of initiatives, we identified opportunities for the success of future AGI developments.  ...  Switzerland [75] Plantwise Knowledge Bank Online and smartphone-based knowledge bank with pest identification tools and factsheets on plant health to aid community farming.  ... 
doi:10.3390/cli6040097 fatcat:oluzbbm5abgbthqduypy4gweta

Human-machine Intelligence: A Design Paradigm [article]

Mahbubur Rahman, Maryland Shared Open Access Repository, Dr. Nilanjan ; Banerjee
We provided detailed steps of integrating humans in decision making, feature extraction, and preprocessing through our weed identification system, resource localization, and group conversation analysis  ...  Humans and machines can complement each other in resolving intractable and sophisticated issues that are hard or impossible for computers alone.  ...  This may help the system designer to get all information at one point and decide a template pattern based on their problem domain. .  ... 
doi:10.13016/m2hmwz-we5k fatcat:75kghcjgorfrtnwfphxovexwjy

Review: Application of Artificial Intelligence in Phenomics

Shona Nabwire, Hyun-Kwon Suh, Moon S. Kim, Insuck Baek, Byoung-Kwan Cho
2021 Sensors  
In addition, artificial intelligence has fostered the development of software and tools applied in field phenotyping for data collection and management.  ...  This integration is gradually improving the efficiency of data collection and analysis through the application of machine and deep learning for robust image analysis.  ...  , VGG-19 Semantic segmentation of crops and weeds Oilseed rape [50] Xception net, Inception-ResNet, DenseNet Weed identification Black Nightshade [51] GoogLeNet Plant disease classification  ... 
doi:10.3390/s21134363 pmid:34202291 fatcat:erol3zndfjhjpoq4oqs5s5k7qq

Massive Open Online Courses: Current State and Perspectives (Dagstuhl Perspectives Workshop 14112)

Pierre Dillenbourg, Armando Fox, Claude Kirchner, John Mitchell, Martin Wirsing, Marc Herbstritt
2014 Dagstuhl Manifestos  
Academic leaders are concerned about educational quality, access to content, privacy protection for learner data, production costs and the proper relationship between MOOCs and residential instruction,  ...  At the same time, these same leaders see opportunities for the scale of MOOCs to support learning: faculty interest in teaching innovation, better learner engagement through personalization, increased  ...  Crowd sensing is a new sensing paradigm based on various mobile devices, wearable devices, connected objects, and so on, using these devices' sensors for crowdsourced data creation and analysis that contribute  ... 
doi:10.4230/dagman.4.1.1 dblp:journals/dagstuhl-manifestos/DillenbourgFKMW14 fatcat:p534ryue7nfpdn4u357ioj6isi

Framework Conceptual Model D1.1

Michael Strähle, Christine Urban, Marinos Anastasakis, Katerina Kikis-Papadakis, Miriam Calvera Isabal, Patricia Santos, Emilia Lampi, Joni Lämsä, Raija Hämäläinen, Julia Lorke, Reuma De-Groot, Yaela Golumbic (+4 others)
2021 Zenodo  
Citizen science activities, especially crowdsourcing, are nothing new, and so are not initiatives in public engagement in science.  ...  Furthermore, it includes a short overview of the conceptual models for computer analytics that will be presented with all required detail in D1.2.  ...  No doubt, the internet and smartphones are game changers for citizen science.  ... 
doi:10.5281/zenodo.5589618 fatcat:ax3b3zg3a5bnhghmfuixwfpkai

Monitoring crop phenology with street-level imagery using computer vision [article]

Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Marijn van der Velde
2021 arXiv   pre-print
Classification was done using TensorFlow with a well-known image recognition model, based on transfer learning with convolutional neural networks (MobileNet).  ...  At 220 specific parcel locations detailed on the spot crop phenology observations were recorded for 17 crop types.  ...  Monitoring crop phenology using a smartphone based Seiferling, I., Naik, N., Ratti, C., & Proulx, R. (2017). Green streets- quantify- near-surface remote sensing approach.  ... 
arXiv:2112.09190v1 fatcat:svhqv5bna5h3dctpqxgsgs4bu4

Role of Machine Learning Algorithms in Forest Fire Management: A Literature Review

Arif Muhammad, Alghamdi Khloud K, Sahel Salma A, Alosaimi Samar O, Alsahaft Mashael E, Alharthi Maram A, Arif Maryam
2021 Journal of Robotics and Automation  
Shankar RLH, Veeraraghavan AK, Sivaraman K, et al. (2018) Application of UAV for pest, weeds and disease detection using 49.  ...  Crowdsource sensing of the events can help in the prediction of man-made fire events.  ... 
doi:10.36959/673/372 fatcat:lo2bzahnazbspax2qzgg7smpne

Crowdsourcing Aimed at Value Innovation

Teresa Martins, André Luiz Zambalde, Paulo Henrique De Souza Bermejo
2019 Proceedings of the 52nd Hawaii International Conference on System Sciences   unpublished
For each business, we identified the characteristics that would allow us to classify it as crowdsourcing at the present time.  ...  the term crowdsourcing.  ...  Acknowledgment The authors thank the National Council for Scientific and Technological Development (CNPq-Brasil) -Process 402789/2015-6 for financially supporting this study.  ... 
doi:10.24251/hicss.2019.254 fatcat:5k32tes4azgjzjvxtxjczvsoha

Using participatory visual methods for information exchange about climate risk in canal estate communities

Ben Grant, Claudia Baldwin, Scott N. Lieske, Kari Martin
2015 Australian Journal of Maritime and Ocean Affairs  
Land reclamation and a new 70 berth marina was completed in 2012, a four lane boat ramp and on-shore area is due for completion in June 2014.  ...  . • Flexible use of space to deal with peak and non-peak boating times, so that valuable coastal space is not just used for car parking. • Protection of the surrounding natural environment through onsite  ...  To assist the public in providing this valuable information, WA PestWatch, a free location-based crowdsourcing application, was launched.  ... 
doi:10.1080/18366503.2015.1014012 fatcat:jvxqms7icnaudjjx2hwgpygrhm

When in doubt ask the crowd : leveraging collective intelligence for improving event detection and machine learning [article]

Mihai Georgescu, University, My
Furthermore, we establish a new methodology for detecting events based on explicit relationships identification.  ...  We adopt two strategies to identify entity relationships: (i) we establish a strategy based on Explicit Relationships Identification; (ii) we adjust to our domain the Implicit Relationship Identification  ... 
doi:10.15488/8457 fatcat:ikul6z5pijej7lixobizpb3zvq

Data-Driven, Personalized Usable Privacy

Hamza Harkous
The same goes for upgrading a smartphone to a newer model to be eligible for continued security updates.  ...  In what follows, we present our two QA approaches that are based on neural networks: SemVec and Hierarchical.  ...  It then enables them to set rules for encrypting uploaded files and shows them what apps still work with their protected data.  ... 
doi:10.5075/epfl-thesis-7841 fatcat:6y4qqq36prdzbiqwfpumgeig2m
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