Guest Editors
Dr. Nadeem Sarwar
Email: Nsarwar.bulc@bahria.edu.pk
Affiliation: Department of Computer Science, Bahria University Lahore Campus, Lahore, 54000, Pakistan
Homepage:
Research Interests: Image processing, Precision in Agriculture, AI, Security, Computer Vision, IoT
Prof. Dr. Imran Sarwar Bajwa
Email: imran.sarwar@iub.edu.pk
Affiliation: Department of Computer Science, The Islamia University of Bahawalpur
Homepage:
Research Interests: Cloud Computing, Image processing, Precision in Agriculture, AI, Security, IoT
Dr. Rabab Al-Zaidi
Email: r.alzaidi@salford.ac.uk
Affiliation: University of Salford, Salford, UK
Homepage:
Research Interests: Artificial Intelligence, Network Monitoring, Drones security, IoT, Crop monitoring
Dr. Zahid Akhtar
Email: akhtarz@sunypoly.edu
Affiliation: Department of Network and Computer Security, State University of New York Polytechnic Institute, NY, USA
Homepage:
Research Interests: Computer Vision, Machine Learning and Pattern Recognition, Image and Video Processing, Drones
Summary
The growing demand for sustainable food production, climate resilience, and resource optimization has led to the rapid adoption of smart agriculture technologies. Smart agriculture integrates sensors, IoT, remote sensing, and AI to enhance precision farming, crop monitoring, irrigation management, and pest control. Soft computing techniques—including fuzzy logic, genetic algorithms, neural networks, and machine learning—offer innovative solutions to address the complex, dynamic challenges in agriculture, such as weather forecasting, crop yield prediction, disease detection, and resource optimization.
This special issue focuses on the application of soft computing techniques in smart agriculture to enhance the efficiency, sustainability, and automation of agricultural practices. It aims to bring together leading research on the intersection of agriculture, artificial intelligence, and soft computing, showcasing novel approaches for precision farming and decision support systems.
Topics of Interest:
Soft Computing for Precision Agriculture
AI and Machine Learning for Crop Yield Prediction
Neural Networks for Disease and Pest Detection
Fuzzy Logic in Irrigation Management
Genetic Algorithms for Agricultural Resource Optimization
Hybrid Soft Computing Approaches in Smart Farming
AI-Driven Decision Support Systems for Farmers
Remote Sensing and Soft Computing for Smart Agriculture
Data Analytics in Agricultural Supply Chains
Weather Forecasting and Climate Resilience in Farming
Keywords
Smart Agriculture, Precision Farming, Soft Computing, Fuzzy Logic in Agriculture, Crop Yield Prediction, Neural Networks for Pest Detection, Genetic Algorithms in Farming, AI-Driven Irrigation Management
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