Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Integrating digital technologies in agriculture for climate change adaptation and mitigation: State of the art and future perspectives

C Parra-López, SB Abdallah, G Garcia-Garcia… - … and Electronics in …, 2024 - Elsevier
Agriculture faces a major challenge in meeting the world's growing demand for food in a
sustainable manner in the face of increasing environmental pressures, in particular the …

Internet of Things and wireless sensor networks for smart agriculture applications: A survey

MN Mowla, N Mowla, AFMS Shah, KM Rabie… - IEEe …, 2023 - ieeexplore.ieee.org
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

Internet of things (IoT) assisted context aware fertilizer recommendation

AA Khan, M Faheem, RN Bashir, C Wechtaisong… - IEEE …, 2022 - ieeexplore.ieee.org
An accurate amount of fertilizer according to the real-time context is the basis of precision
agriculture in terms of sustainability and profitability. Many fertilizers recommendation …

Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges

F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

Nutrient recovery from anaerobic digestate: Fertilizer informatics for circular economy

K Chojnacka, M Chojnacki - Environmental Research, 2024 - Elsevier
This study explores the integration of fertilizer informatics into the circular economy, with a
focus on enhancing nutrient recovery from anaerobic digestate. It utilizes advanced …

Smart Farming Technologies: A Methodological Overview and Analysis

K Chicaiza, R Paredes, IM Sarzosa, SG Yoo… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive examination of smart farming solutions through a
systematic review of literature available in various digital repositories. Methodologically, we …

IoT and AI based smart soil quality assessment for data-driven irrigation and fertilization

JP Nyakuri, J Bizimana, A Bigirabagabo… - American journal of …, 2022 - ajpojournals.org
Purpose: The rapidly growing demand for food due to rapid population growth in East Africa
is one of the challenging issues and the sustainable way of tackling it, is to enhance the …

Machine learning based mobile applications for autonomous fertilizer suggestion

S Raviraja, KV Raghavender, P Sunagar… - 2022 4th …, 2022 - ieeexplore.ieee.org
To ensure food security, advanced agriculture and the Green Movement haveincreased
overall output, but with a yield gap. However, the use of agrochemicals such as fertilizers …

Dynamic physical activity recommendation delivered through a mobile fitness app: a deep learning approach

S Vairavasundaram, V Varadarajan, D Srinivasan… - Axioms, 2022 - mdpi.com
Regular physical activity has a positive impact on our physical and mental health. Adhering
to a fixed physical activity regimen is essential for good health and mental wellbeing. Today …