ABSTRACT
Artificial intelligence (AI) is the algorithms designed to make decisions, often using big real-time data to perform activities that at times go beyond human capabilities. Given the increasing gap in agricultural demand and supply worldwide, further widened by the COVID-19 pandemic (The pandemic has derailed the progress towards Sustainable Development Goals (SDGs) further off the track. The SDG financing gap per annum widened from USD 2.5 trillion to around USD 4.2 trillion), it necessitates innovative and cost-effective approaches to agriculture. AI has begun producing innovative technological solutions and data-driven insights to farming which gives confidence that it can be used to mitigate challenges around sustainable agricultural practices and facilitate getting SDGs back on track. In agriculture, AI has demonstrated immense potential in achieving enhanced productivity and improving the existing supply chains, delivery systems and market value/better pricing in both developed and developing countries for better utilisation of the produce. Several innovative uses of AI in agriculture have emerged worldwide, promising to advance farm productivity while improving sustainability and livelihoods at the same time. However, many of these experiments/pilots exist in silos. Due to this fragmented approach, a comprehensive understanding of how successful the use of AI has been in agriculture and what shortcomings or challenges were faced in some of these technological implementations has not been well evaluated. This chapter, therefore, assesses the pressing reasons to use innovative and cost-effective digital interventions like AI for SDGs in the agriculture sector. The paper then identifies the challenges in designing a successful AI programme and explores the potential of multi-stakeholder partnerships in this context. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
In the face of new diseases, medicine needs to reinvent itself in order to contain and control epidemics, such as the one we have recently faced, COVID-19, a disease with a wide spectrum of clinical severity. A new moment has been established, since the application of well-known, effective and safe medications for other diseases, has shown high success rates in the treatment of COVID-19. Thereunto, studies with early intervention are needed, which can change the unfavorable outcome of patients. In this article, we report the successful experience using an oral strategy during the collapse of Belem (Para, Brazil) Health System. Two hundred and ten patients were diagnosed with respiratory failure due to COVID-19, with no option of hospital treatment due to lack of beds and resources. These patients were then started on therapeutic regimen consisting of 40 mg prednisolone, 40 mg enoxaparin and macrolides (500 mg clarithromycin, 500 mg axetylcefuroxime) associated and followed in outpatient facilities. Two hundred and eight patients had an excellent therapeutic response and there were only two fatalities. These results push research boundaries, valuing outpatient treatment with early use of prednisolone in the initial pulmonary phase, preventing severe COVID-19 pneumonitis. Adoption of the proposed treatment intends to reduce the need for hospitalization, as well as lethality, with social robust benefits and incalculable economic savings since involves the use of accessible, safe and not expensive medications.
ABSTRACT
The outbreak of the novel coronavirus and its disease COVID-19 present an unprecedented challenge for humanity. Artificial Intelligence (AI) and robotics may help fighting COVID-19. Potential applications of AI in this accelerating pandemic include, but are not limited to, early detection and diagnosis, massive agent modeling and simulation, data analytics, assistive robots, disinfection robots, public awareness and patrolling, contactless delivery services, virtual healthcare assistants, drug repurposing and vaccination discovery. This chapter sheds light on the roles AI and robotics can play in fighting this disastrous pandemic, and possible future ones, and highlights several potential applications to transform this challenge into opportunities. This chapter also discusses the ethical implications of AI and robotics during the pandemic and in the post-pandemic world. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The outbreak of the novel coronavirus and its disease COVID-19 presents an unprecedented challenge for humanity. Intelligent systems and robotics particularly are helping the fight against COVID-19 several ways. Potential technology-driven solutions in this accelerating pandemic include, but are not limited to, early detection and diagnosis, assistive robots, indoor and outdoor disinfection robots, public awareness and patrolling, contactless last-mile delivery services, micro-and nano-robotics and laboratory automation. This article sheds light on the roles robotics and automation can play in fighting this disastrous pandemic and highlights a number of potential applications to transform this challenge into opportunities. The article also highlights the ethical implications of robotics and intelligent systems during the emergency side and in the post-pandemic world. © 2021, Budapest Tech Polytechnical Institution. All rights reserved.