Developing a policy framework for adoption and management of drones for agriculture in Africa

ABSTRACT This paper proposes a drone policy framework for developing drone regulations for Africa, expediting the individual countries’ developing drone regulations. This research was conducted following concerns raised by individuals and businesses whose imported drones were seized by customs or had to go through a cumbersome process for approval to use drones for lack of regulations. To derive the policy framework, we matched the provisions of 15 existing drone regulations from Africa to the International Civil Aviation Organization (ICAO) Manual on Remotely Piloted Aircraft Systems (RPAS) using a decomposition modelling technique. The proposed framework is presented as a formal business process model and is evaluated in a multi-case study approach in two different case studies. The results indicate that two key aspects/elements are crucial in the development of a drone framework and thus are included in our framework: (i) stakeholders’ inclusion in the policy development and (ii) regulators liaising with security agencies like the police and immigration officials to implement and enforce developed regulations. Applying the proposed framework in describing existing regulations reveals that 40-85% of provisions in existing regulations conform to the provisions in ICAO’s RPAS manual.

[1]  Dani Rodrik,et al.  An African Growth Miracle , 2016 .

[2]  C C Cook,et al.  Alcohol policy and aviation safety , 1997 .

[3]  S. Chatterjee,et al.  Design Science Research in Information Systems , 2010 .

[4]  Bharadwaj Rao,et al.  The societal impact of commercial drones , 2016 .

[5]  Nebojsa Nakicenovic,et al.  Integrated Assessment , 1996, Simul..

[6]  Stuart R. Phinn,et al.  Optimising drone flight planning for measuring horticultural tree crop structure , 2020 .

[7]  C. Piña,et al.  The use of drones for conservation: A methodological tool to survey caimans nests density , 2019, Biological Conservation.

[8]  David G. Schmale,et al.  Development and application of an autonomous unmanned aerial vehicle for precise aerobiological sampling above agricultural fields , 2008, J. Field Robotics.

[9]  W. Walker,et al.  Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .

[10]  H. Kim,et al.  Potential of Unmanned Aerial Sampling for Monitoring Insect Populations in Rice Fields , 2018, Florida Entomologist.

[11]  Sandeep Purao,et al.  Design Research in the Technology of Information Systems: Truth or Dare , 2002 .

[12]  B. Allenby,et al.  Toward Inherently Secure and Resilient Societies , 2005, Science.

[13]  Stefanie Beninger,et al.  The disruptive potential of drones , 2020, Marketing letters.

[14]  Maggi Kelly,et al.  Unmanned aerial systems for agriculture and natural resources , 2017 .

[15]  Robin Kellermann,et al.  Drones for parcel and passenger transportation: A literature review , 2020, Transportation Research Interdisciplinary Perspectives.

[16]  Tim Gorichanaz,et al.  Trust as an ethical value in emerging technology governance: The case of drone regulation , 2019, Technology in Society.

[17]  Vernon W. Ruttan,et al.  INDUCED INNOVATION, EVOLUTIONARY THEORY AND PATH DEPENDENCE: SOURCES OF TECHNICAL CHANGE* , 1997 .

[18]  Alwyn Young,et al.  The African Growth Miracle , 2012, Journal of Political Economy.

[19]  Steven G. Hall,et al.  Using Drones in Agriculture: Unmanned Aerial Systems for Agricultural Remote Sensing Applications , 2014 .

[20]  Mario Coccia,et al.  A Theory of the Evolution of Technology: Technological Parasitism and the Implications for Innovation Management , 2020 .

[21]  Giacomo Rambaldi,et al.  Drone governance: a scan of policies, laws and regulations governing the use of unmanned aerial vehicles (UAVs) in 79 ACP countries , 2016 .

[22]  Rocci Luppicini,et al.  A technoethical review of commercial drone use in the context of governance, ethics, and privacy , 2016 .

[23]  Graham Spinardi,et al.  Fire safety regulation: Prescription, performance, and professionalism , 2016 .

[24]  Apostolos Tsagaris,et al.  The Use of Unmanned Aerial Systems (UAS) in Agriculture , 2015, HAICTA.

[25]  Ahmad Alturki,et al.  A Design Science Research Roadmap , 2011, PACIS.

[26]  Mario Coccia,et al.  Why do nations produce science advances and new technology? , 2019, Technology in Society.

[27]  Michael Tsan,et al.  The Digitalisation of African Agriculture Report 2018–2019 , 2019 .

[28]  J. Aker,et al.  Mobile Phones and Economic Development in Africa , 2010 .

[29]  Giacomo Rambaldi,et al.  Drones in agriculture in Africa and other ACP countries: A survey on perceptions and applications , 2018 .

[30]  Rohan Bennett,et al.  Review of the Current State of UAV Regulations , 2017, Remote. Sens..

[31]  Robert K. Yin,et al.  Case Study Research and Applications: Design and Methods , 2017 .

[32]  C. Downs,et al.  Use of an unmanned aerial vehicle (drone) to survey Nile crocodile populations: A case study at Lake Nyamithi, Ndumo game reserve, South Africa , 2018, Biological Conservation.

[33]  P. Czech,et al.  LEGAL ASPECTS OF AIR TRANSPORT SAFETY AND THE USE OF DRONES , 2017 .

[34]  Andrew Jordan,et al.  Environmental policy (protection and regulation) , 2001 .

[35]  Mario Coccia,et al.  Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms , 2017, Technology Analysis & Strategic Management.

[36]  Matthew Marino,et al.  Ten questions concerning the use of drones in urban environments , 2020 .

[37]  David P. Dolowitz,et al.  Who Learns What from Whom: A Review of the Policy Transfer Literature , 1996 .

[38]  Oliver Musshoff,et al.  A trans-theoretical model for the adoption of drones by large-scale German farmers , 2020 .

[39]  John Downer Trust and technology: the social foundations of aviation regulation. , 2010, British Journal of Sociology.

[40]  Journal Ajer,et al.  Unmanned Aerial Vehicle and Geospatial Technology Pushing the Limits of Development , 2015 .

[41]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[42]  David P. Dolowitz,et al.  Learning from Abroad: The Role of Policy Transfer in Contemporary Policy‐Making , 2000 .

[43]  M. Coccia Democratization is the Driving Force for Technological and Economic Change , 2010 .

[44]  A. Brem,et al.  From toys to tools: The co-evolution of technological and entrepreneurial developments in the drone industry , 2017 .

[45]  Timo Oksanen,et al.  Soil sampling with drones and augmented reality in precision agriculture , 2018, Comput. Electron. Agric..

[46]  Marlan Hutahaean,et al.  The Importance of Stakeholders Approach in Public Policy Making , 2017 .

[47]  Roger Clarke,et al.  The regulation of civilian drones' impacts on public safety , 2014, Comput. Law Secur. Rev..

[48]  Mario Coccia,et al.  Technological Paradigms and Trajectories as Determinants of the R&D Corporate Change in Drug Discovery Industry , 2015, International Journal of Knowledge and Learning.

[49]  Mario Coccia,et al.  Theories of Development , 2019, Global Encyclopedia of Public Administration, Public Policy, and Governance.

[50]  Kabir O Kasim,et al.  Assessment of Small Unmanned Aerial Systems Operations in the National Airspace System , 2018 .

[51]  Per Runeson,et al.  Guidelines for conducting and reporting case study research in software engineering , 2009, Empirical Software Engineering.