Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, Q Al Tashi, A Shah, R Qureshi… - Authorea …, 2024 - authorea.com
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Drones in plant disease assessment, efficient monitoring, and detection: a way forward to smart agriculture

A Abbas, Z Zhang, H Zheng, MM Alami, AF Alrefaei… - Agronomy, 2023 - mdpi.com
Plant diseases are one of the major threats to global food production. Efficient monitoring
and detection of plant pathogens are instrumental in restricting and effectively managing the …

RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index

J Deng, D Hong, C Li, J Yao, Z Yang, Z Zhang… - … and Electronics in …, 2024 - Elsevier
Quantitative remote sensing of crop diseases at the field or plot scale is essential for crop
management. Conventional approaches frequently rely solely on single-modal remote …

Optimal energy consumption path planning for unmanned aerial vehicles based on improved particle swarm optimization

Y Na, Y Li, D Chen, Y Yao, T Li, H Liu, K Wang - Sustainability, 2023 - mdpi.com
In order to enhance the energy efficiency of unmanned aerial vehicles (UAVs) during flight
operations in mountainous terrain, this research paper proposes an improved particle …

A review on UAV-based applications for plant disease detection and monitoring

L Kouadio, M El Jarroudi, Z Belabess, SE Laasli… - Remote Sensing, 2023 - mdpi.com
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …

[HTML][HTML] Artificial intelligence applied to drone control: A state of the art

D Caballero-Martin, JM Lopez-Guede, J Estevez… - Drones, 2024 - mdpi.com
The integration of Artificial Intelligence (AI) tools and techniques has provided a significant
advance in drone technology. Besides the military applications, drones are being …

Plant detection and counting: Enhancing precision agriculture in UAV and general scenes

D Lu, J Ye, Y Wang, Z Yu - IEEE Access, 2023 - ieeexplore.ieee.org
Plant detection and counting play a crucial role in modern agriculture, providing vital
references for precision management and resource allocation. This study follows the …

[HTML][HTML] A novel deep CNN model with entropy coded sine cosine for corn disease classification

MM Malik, AM Fayyaz, M Yasmin, SJ Abdulkadir… - Journal of King Saud …, 2024 - Elsevier
Corn diseases significantly impact crop yields, posing a major challenge to agricultural
productivity. Early and accurate detection of these diseases is crucial for effective …

PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting

J Ye, Z Yu, Y Wang, D Lu, H Zhou - Engineering Applications of Artificial …, 2024 - Elsevier
Deep learning is increasingly popular for precise plant detection and counting in computer
vision applications. Despite the rising cross-disciplinary research in this field, an important …