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Review of Potential Ecological Impacts of Peaceful Robotic Drone Use and Policy Implications for Developing Countries
Published 2015Subjects: “…Ecology|| Peaceful Robotic Drone|| Policy|| Developing Countries…”
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Page will reload when a filter is selected or excluded.- Automation and Robotics 76 results 76
- Technology & Engineering 76 results 76
- Technology & Engineering — Aerospace & Applied Tech 76 results 76
- A review has been carried out on the potential ecological impacts of peaceful or civilian robotic drone use and its policy implications for developing countries. The author delves into the emergence of what has become today known as drones right from the late 16th century it was first used as a hot - air balloon through its evolvement over the decades inspired by the need for national defence and global peace. The article highlights the rapid departure from the tragic use of military - grade drones to peaceful or civilian uses in the last decade to policy implications for developing countries. The article gives succinct analyses of the reported and potential pros and cons associated with peaceful drone use in developed and developing countries with the aim of assisting the later in this unavoidable policy decision at hand. Suggestions are made on the way forward through approaches to arrive at policy criteria on peaceful robotic drone use in accordance with cultural, developmental, ethical and ecological needs, aspirations and peculiarities of developing countries in need of such a framework. 3 results 3
- Ecology|| Peaceful Robotic Drone|| Policy|| Developing Countries 3 results 3
- Robotics 2 results 2
- AI 1 results 1
- Agricultural insurance 1 results 1
- Applied computing 1 results 1
- COVID-19 1 results 1
- Component 1 results 1
- Computer Science 1 results 1
- Embedded Systems 1 results 1
- KT 1 results 1
- Mathematical foundations 1 results 1
- Mechanization 1 results 1
- R-Language 1 results 1
- Text Mining 1 results 1
- Text mining is the process of discovering new, hidden information from texts- structured, semi-structured and unstructured. There are so many benefits, valuable insights, discoveries and useful information that can be derived from unstructured or semi- unstructured data. In this study, text mining techniques were used to identify trends of different topics that exist in the text and how they change over time. Keywords were crawled from the abstracts in Journal of Computer Science and Technology (JCST), one of the ISI indexed journals in the field of Computer Science from 1993 to 2013. Results of our analysis clearly showed a varying trend in the representation of various subfields in a Computer Science journal from decade to decade. It was discovered that the research direction was changing from pure mathematical foundations, Theory of Computation to Applied Computing, Artificial Intelligence in form of Robotics and Embedded Systems. 1 results 1
- The effect of COVID-19 lockdown on crop planting mechanization and ,’e ne ed to use artificial intelligence and robotic systems as better alternatives in the early planting s ason in Nigeria was examined during the lockdown (April to July, 2020). The study are's include Oyo and Bayelsa states. The data generated were gathered through oral interview, discussions, e-questionnaires, live questionnaires and routine sources. Purposive and online sampling techniques were adopted and data were analyzed using Kobo Toolbox (KT), Statistical Package for Social Sciences (SPSS) version 21, R-programming version 3.2.2 and word excel version 2013. About ninety-one (91) respondents’ opinions were sampled. The crops plated during the lockdown include maize (35.16%), cassava (24.18%), tomatoes (15.38%), V. g'+abrns (9.89%), pepper (6.6%), yam (5.49%) and undecided (3.30%) as indicated by the respondents. About 52.7% respondents observed that planting time was affected by COVID-19 louden while 40.7% said that planting time was not affected because of their system of farming and closeness to farm locations and 6.6% of the respondents were undecided. This gap created in planting time can be bridged with robotic systems while the farmers are observing lockdown and planting their crops using Artificial Intelligence (AI) at home. Farm implements (Traditional & mechanized) were discovered to be in deplorable conditions by 76% of our respondents that can be curbed with maintenance robots using AI while 16% of the respondents agreed *hat implements and tools were in good shape during the period. The use of mechanization for crop planting stands at 32% while the use of traditional implements (Hoes, cutlasses, hand sprayers) stands at 68% during the lockdown due to non-availability of skilled labour. Hiring of mechanized implements (Tractors, planters, seeders) and tools became difficult during me lockdown as agreed upon by 87% of the respondents and 9% of the respondents indicated that implements and tools hiring was not difficult and 4% of the respondents are undecided. The problems encountered by farmers are capital (60%), credit facility (63%), loan (61.54%), agricultural insurance (69.2%), high cost of labour (85%) and high cost of transportation (86.8%). The possible solutions suggested by the respondents are access to credit facility, free movement, special incentives, availability of loans at low interest rate, subsidized farm implements, agricultural schemes creation, provision of fertilizers and herbicides. Farmers observed COVID-19 protocols; Social distancing (54.9%), hand washing (26.4%), hand sanitizing (6.6%), Coughing into arm (4.4%) combined (4.4%) and undecided (3.3%). None of the farmers interviewed use robotic system for their farming operations. Government is therefore advised, to look into farmers’ plight by encouraging artificial intelligence and robotics systems to overcome challenges associated with crop cultivation during lockdown and human movement restrictions. 1 results 1
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