A Remote Surveillance System for the Detection of Farmland Invasion by Cattle in Sub-Saharan African Country

2021 ◽  
Vol 8 (9) ◽  
pp. 130-135
Author(s):  
Oluwole Abiodun Adegbola ◽  
Ifeoluwa David Solomon ◽  
Adesina Samuel Oluwaseun

Farmer-herder conflict in Nigeria mainly involves disputes over land between agrarian communities and nomadic Fulani herdsmen resulting to loss of farmlands and crops, which consequently affects the nation's economy. Engagement of local security operatives in stopping this menace of the herders have proved abortive. Hence, this work proposes a farmland surveillance-alert system using unmanned aerial vehicles for the detection of cattle presence on farmlands as a solution to curbing the problem of farm invasion and destruction. The technique modifies CNN-YOLOV2 architecture, the outcome was accessed with DJI phantom 4 captured 656 images for the detection of cattle invasion. The system on detecting cattle presence above a threshold level sends SMS to farmer’s designated number. The system achieved an average confidence score of 0.92 for the test dataset and 0.72 on real-life data. Hence, it can be employed to mitigate incessant farm invasion and destruction problem and in other surveillance systems. Keywords: convolutional neural network, unmanned aerial vehicles, surveillance, mean average confidence score, yolov2, short messaging service.

Author(s):  
Temitope Abiodun

The study focuses on the issue that prompt transportation and delivery of logistics from one location to the other in Nigeria is at present costly, difficult, unrealistic, and cumbersome as occasioned by; road congestion in urban cities, increased, insecurity pollution, unnecessary delays, and declined efficiency, among others. The menace often poses threats to city planners to maintain the pace of the ever increasing urbanization process and population growth in all ramifications. The current situation has, however, warranted possibility for drones or unmanned aerial vehicles (UAVs) technology for logistics delivery and transportation in Nigeria and other sub-Saharan African nations, to alleviate the stress posed by the conventional mode of transportation. This paper is poised to: investigate the public support and prospects of using of drones or UAVs for effective transport or logistics delivery, and also find out its applications in other sectors in Nigeria; examine the potential threats or barriers to the application; appraise the technology’s cost-effectiveness, acceptability, local sustainability; and recommend the parameters around adoption, safety or security, reliability of drones technology, and effective monitoring for future implementation in Nigeria. The study generated its data from both primary and secondary sources while the research findings are comprehensively and descriptively analyzed. The study, however, recommends to transport sector, governments, end-users, and drone providers on logistics delivery to swiftly ensure that: safety of drone operations; insurance coverage availability be taken care of; ensure regulatory and procedural frameworks, better assessment and evaluation of drone pilot programmes; strengthening national and local capacity to test, learn, use and maintain drones; and ensure that evidences and prospects that could aid advancing the use of drones for logistics delivery or transport in the country be adequately shared.


Chapter 5 examines issues currently being encountered in the Middle East that demonstrate a cross-over between electronic warfare and cyber-warfare activities, affecting not only typical targets over the internet but also ships, aircraft, and unmanned aerial vehicles during the second decade of the new millennium. This overview provides examples of how cyber-warfare techniques are now being used in the battle space domain to affect geo-political situations within regions. The evidence shows how the cyber domain can influence real-life situations, taking its capabilities progressively just that one step further to hacker and state-sponsored cyber-attacks already witnessed against ICS cyber-physical assets. The viewpoint here draws upon historical stimuli and escalating political tensions now being encountered by opposing nations that could have a wider reaching impact.


2013 ◽  
Vol 50 (2) ◽  
pp. 107-116
Author(s):  
Satyabrata Pal ◽  
Arunava Ghosh ◽  
Tapamay Dhar

Summary Economic threshold level (ETL) is an important component in pest management and control. Usually, it is determined by the grower/technologist utilizing his experience on a crop; however, for cereals the values of these indices are available. Knowledge of ETL helps reduce crop loss (and ensure less pesticide application), and as a consequence, profit is increased. Also substantial knowledge is required on the dynamics of the pest population, in order to determine the density at which the economic injury level (EIL) may be prevented (Weersink et al. 1991). This paper is devoted to the development of an analytical method (probabilistic) for determination of ETL, which is defined as the density at which control measures should be determined to prevent an increasing pest population from reaching the economic injury level. A method to model the dynamics of the pest population is also proposed. The above method is demonstrated on a real life data set on pest (whitefly) incidence on betelvine, obtained from an experiment designed for that purpose.


2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.


Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.


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