Technologies driving the shift to smart farming: A review

N ElBeheiry, RS Balog - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
As today's agriculture industry is facing numerous challenges, including climate changes,
encroachment of the urban environment, and lack of qualified farmers, there is a need for …

Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection

SB Balasubramanian, P Prabu… - PeerJ Computer …, 2022 - peerj.com
In the recent research era, artificial intelligence techniques have been used for computer
vision, big data analysis, and detection systems. The development of these advanced …

Amaran: an unmanned robotic coconut tree climber and harvester

RK Megalingam, SK Manoharan… - Ieee/Asme …, 2020 - ieeexplore.ieee.org
There is an acute shortage of human coconut tree climbers to harvest coconuts in India and
other develo** countries. The consequential diminished availability of skilled tree …

Detection and classification of paddy leaf diseases using deep learning (cnn)

S Maheswaran, S Sathesh, P Rithika, IM Shafiq… - … , and Signal Processing, 2022 - Springer
India has a huge population and the major source of food supply is from agriculture.
Agricultural lands are getting destroyed mostly due to crop diseases, pests and plant …

Analysis, Prediction and Classification of Skin Cancer using Artificial Intelligence-A Brief Study and Review

ML Pandala, S Periyanayagi - Scalable Computing: Practice and …, 2023 - scpe.org
Abstract World Health Organization (WHO) records that skin cancer has vigorously affected
people in recent decades. Worldwide, many people are affected by skin cancer, and its …

Deep learning-based education decision support system for student E-learning performance prediction

SP Jakkaladiki, M Janečková, JAN Krunčík… - … Computing: Practice and …, 2023 - scpe.org
Abstract Information Technology (IT) and its advancements change the education
environment. Conventional classroom education has been transformed into a modernized …

[HTML][HTML] Design and experiment of coconut picking robot with climbing

H Zheng, Y Fu, Z Wang, X Yin, Y **a, W Fu - Smart Agricultural Technology, 2024 - Elsevier
Due to the height of coconut trees and the high risks associated with manual picking, there is
a severe shortage of labor in the coconut picking industry in Hainan. To address this issue, a …

Unmanned ground vehicle for surveillance

S Maheswaran, G Murugesan… - 2020 11th …, 2020 - ieeexplore.ieee.org
Remote worked spy-robots can be immensely helpful in the event that they can be controlled
remotely over a bigger working reach. Availability of various modalities for their remote …

Adaptive Server Load Balancing in SDN Using PID Neural Network Controller.

R Malavika, ML Valarmathi - Computer Systems Science & …, 2022 - search.ebscohost.com
Web service applications are increasing tremendously in support of high-level businesses.
There must be a need of better server load balancing mechanism for improving the …

Design and analysis of fuel-based robotic coconut tree climber

T Akhil, RK Megalingam - 2022 IEEE 5th International …, 2022 - ieeexplore.ieee.org
With an average of sixty million metric tons of production, coconut plays a significant role in
the economy of many countries in South Asia. India produces 25% of the world's coconuts …