Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
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 …
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
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
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 …
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
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 …
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 …
operations in mountainous terrain, this research paper proposes an improved particle …
A review on UAV-based applications for plant disease detection and monitoring
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …
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 …
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 …
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 …
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
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 …
vision applications. Despite the rising cross-disciplinary research in this field, an important …