Breaking boundaries: Artificial intelligence for pesticide detection and eco-friendly degradation

D Banerjee, S Adhikary, S Bhattacharya… - Environmental …, 2024 - Elsevier
Pesticides are extensively used agrochemicals across the world to control pest populations.
However, irrational application of pesticides leads to contamination of various components …

[HTML][HTML] Application of artificial intelligence techniques to addressing and mitigating biotic stress in paddy crop: A review

S Shubhika, P Patel, R Singh, A Tripathi, S Prajapati… - Plant Stress, 2024 - Elsevier
Agriculture provides basic livelihood for a large section of world's population. It is the oldest
economic activity in India, with two third of Indian population involved in crop production …

Cognitive robotics: Deep learning approaches for trajectory and motion control in complex environment

MU Shoukat, L Yan, D Deng, M Imtiaz, M Safdar… - Advanced Engineering …, 2024 - Elsevier
Abstract Simultaneous Localization and Map** (SLAM) is the research hotspot of robot
positioning and navigation. In a large-scale complex environment, closed-loop detection by …

State-of-the-Art deep learning methods for objects detection in remote sensing satellite images

AA Adegun, JV Fonou Dombeu, S Viriri, J Odindi - Sensors, 2023 - mdpi.com
Introduction: Object detection in remotely sensed satellite images is critical to socio-
economic, bio-physical, and environmental monitoring, necessary for the prevention of …

A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management

S Rani, D **ing, K Shoukat, MU Shoukat, SA Nawaz - Sustainability, 2024 - mdpi.com
Industry 5.0 is an emerging value-driven manufacturing model in which human–machine
interface-oriented intelligent manufacturing is one of the core concepts. Based on the …

Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques

M Radwan, AA Alhussan, A Ibrahim, SM Tawfeek - Potato Research, 2024 - Springer
The diseases that particularly affect potato leaves are early blight and the late blight, and
they are dangerous as they reduce yield and quality of the potatoes. In this paper, different …

Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review

D Popescu, L Ichim, F Stoican - Frontiers in Plant Science, 2023 - frontiersin.org
Orchard monitoring is a vital direction of scientific research and practical application for
increasing fruit production in ecological conditions. Recently, due to the development of …

Grape cluster detection based on spatial-to-depth convolution and attention mechanism

S Rong, X Kong, R Gao, Z Hu… - Systems Science & Control …, 2024 - Taylor & Francis
Grape cluster detection is a crucial step in the visual tasks of automated grape harvesting.
Background and occlusion lead to difficulty in detecting grape clusters under natural …