[HTML][HTML] Implementation of drone technology for farm monitoring & pesticide spraying: A review
The world receives more than 200 thousand people in a day and it is expected that the total
world population will reach 9.6 billion by the year 2050. This will result in extra food demand …
world population will reach 9.6 billion by the year 2050. This will result in extra food demand …
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …
costs and environmental footprints, and therefore is attracting ever-increasing interests in …
Recent advances in crop disease detection using UAV and deep learning techniques
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …
sensors and software, UAVs have gained popularity among precision agriculture …
[HTML][HTML] A wheat spike detection method in UAV images based on improved YOLOv5
Deep-learning-based object detection algorithms have significantly improved the
performance of wheat spike detection. However, UAV images crowned with small-sized …
performance of wheat spike detection. However, UAV images crowned with small-sized …
A review of deep learning in multiscale agricultural sensing
Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …
increasing pressure on global agricultural production. The challenge of increasing crop yield …
A review on security of smart farming and precision agriculture: Security aspects, attacks, threats and countermeasures
In recent years, Smart Farming (SF) and Precision Agriculture (PA) have attracted attention
from both the agriculture industry as well as the research community. Altogether, SF and PA …
from both the agriculture industry as well as the research community. Altogether, SF and PA …
[HTML][HTML] Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture
Wheat is the third most harvested and consumed grain in the world. However, a large part of
wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases …
wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases …
A mobile-based system for detecting plant leaf diseases using deep learning
AA Ahmed, GH Reddy - AgriEngineering, 2021 - mdpi.com
Plant diseases are one of the grand challenges that face the agriculture sector worldwide. In
the United States, crop diseases cause losses of one-third of crop production annually …
the United States, crop diseases cause losses of one-third of crop production annually …
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 …