Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges
PKR Maddikunta, S Hakak, M Alazab… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
In the next few years, smart farming will reach each and every nook of the world. The
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …
A study of the impacts of air pollution on the agricultural community and yield crops (Indian context)
Air pollution has been an vital issue throughout the 21st century, and has also significantly
impacted the agricultural community, especially farmers and yield crops. This work aims to …
impacted the agricultural community, especially farmers and yield crops. This work aims to …
Remote Sensing for Agriculture in the Era of Industry 5.0–A survey
N Victor, PKR Maddikunta, DRK Mary… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Agriculture can be regarded as the backbone of human civilization. As technology evolved,
the synergy between agriculture and remote sensing has brought about a paradigm shift …
the synergy between agriculture and remote sensing has brought about a paradigm shift …
Controlling agronomic variables of saffron crop using IoT for sustainable agriculture
Saffron, also known as “the golden spice”, is one of the most expensive crops in the world.
The expensiveness of saffron comes from its rarity, the tedious harvesting process, and its …
The expensiveness of saffron comes from its rarity, the tedious harvesting process, and its …
A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases
Introduction Paddy leaf diseases have a catastrophic influence on the quality and quantity of
paddy grain production. The detection and identification of the intensity of various paddy …
paddy grain production. The detection and identification of the intensity of various paddy …
Leaf disease classification in smart agriculture using deep neural network architecture and IoT
The Internet of Things (IoT) is bringing a new dimension to the smart farming market. This
helps the user to collect the data from the agricultural fields in real time and move it to …
helps the user to collect the data from the agricultural fields in real time and move it to …
Dos and Don'ts of using drone technology in the crop fields
The global population growth requires moving from traditional to modern agriculture. A new
generation of agriculture is needed for responding to food security, which relies on smart …
generation of agriculture is needed for responding to food security, which relies on smart …
A review of diseases attributed to air pollution and associated health issues: a case study of Indian metropolitan cities
S Anjum, MM Zafar, A Kumari - Diseases and Health Consequences of Air …, 2024 - Elsevier
Over the past 10 years, air pollution has increased in importance. According to the global
burden of disease (GBD) statistics, air pollution was blamed for more than 6 million deaths …
burden of disease (GBD) statistics, air pollution was blamed for more than 6 million deaths …
Performance evaluation of PCA based reduced features of leaf images extracted by DWT using random Forest and XGBoost classifier
M Bhagat, D Kumar - Multimedia Tools and Applications, 2023 - Springer
The leaf disease classification is a method for putting diseases into groups based on their
properties, like texture, shape, and color. Even though DL features are very good at …
properties, like texture, shape, and color. Even though DL features are very good at …