A systematic literature review on the use of deep learning in precision livestock detection and localization using unmanned aerial vehicles

DBM Yousefi, ASM Rafie, SAR Al-Haddad… - Ieee …, 2022 - ieeexplore.ieee.org
With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …

Elevating healthcare: Rapid literature review on drone applications for streamlining disaster management and prehospital care in Saudi Arabia

AM Al-Wathinani, MA Alhallaf, M Borowska-Stefańska… - Healthcare, 2023 - mdpi.com
Saudi Arabia's health sector faces pressing challenges in disaster and prehospital care
delivery, such as prolonged response times, limited access to remote areas, and strained …

[HTML][HTML] Barriers to the adoption of new technologies in rural areas: The case of unmanned aerial vehicles for precision agriculture in India

H Puppala, PRT Peddinti, JP Tamvada, J Ahuja… - Technology in …, 2023 - Elsevier
Technological advances can significantly transform agrarian rural areas by increasing
productivity and efficiency while reducing labour intensive processes. For instance, the …

[HTML][HTML] Application of smartphone-image processing and transfer learning for rice disease and nutrient deficiency detection

A Nayak, S Chakraborty, DK Swain - Smart Agricultural Technology, 2023 - Elsevier
The earliest detection of plant disease is the primary concern of the farming community. The
availability of advanced digital cameras and smartphones with improved image acquisition …

Drone-related agrotechnologies for precise plant protection in western balkans: Applications, possibilities, and legal framework limitations

A Ivezić, B Trudić, Z Stamenković, B Kuzmanović… - Agronomy, 2023 - mdpi.com
Modern agriculture necessitates the use of techniques and tools that pollute the environment
less and improve the safety of food and feed production. In the field of plant protection …

Application of drone Technology in Agriculture: A predictive forecasting of Pest and disease incidence

C Ganeshkumar, A David, JG Sankar… - … drone technologies and …, 2023 - igi-global.com
The study examines the use of drone technology in agriculture to predict the occurrence of
pest and disease outbreaks. The purpose of the study is to comprehend competition …

Chemical weed control in direct-seeded rice using drone and mist flow spray technology

MA Abd Ghani, AS Juraimi, ASM Su… - Crop Protection, 2024 - Elsevier
Weeds are the primary pest that reduces crop yield. Herbicide-based weed control is an
efficient strategy for farmers, offering economically feasible weed management for …

Applications, challenges, and solutions of unmanned aerial vehicles in smart city using blockchain

SFA Shah, T Mazhar, T Al Shloul, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Real-time data gathering, analysis, and reaction are made possible by this information and
communication technology system. Data storage is also made possible by it. This is a good …

Internet of Things (IoT) in digital agriculture: An overview

S Dhal, BM Wyatt, S Mahanta, N Bhattarai… - Agronomy …, 2024 - Wiley Online Library
Climate change, land degradation, and limited land and water resources have challenged
our ability to meet the food demand of a rapidly growing population. To tackle this challenge …

Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials

N Shrestha, A Powadi, J Davis… - Plants, People …, 2024 - Wiley Online Library
Societal Impact Statement Maize plays a key role in agricultural profitability and food security
on six continents. Successful efforts to breed higher‐yielding maize varieties depend on …