Implementation of Artificial Intelligence in Agriculture

Dear Colleagues,

World population is increasing day by day and expected to reach 10 billion by 2050. The water scarcity, food security and climate change are the hot topics for sustainable growth of the agricultural products. The world is shifting from conventional agricultural practices to the modern/advanced farming techniques (i.e., precision agriculture, digital agriculture, e-agriculture or smart farming). Artificial Intelligence (AI) has major contributions in latest smart farming technologies and applications. Now a days, all kind of crop management practices including intelligent irrigation systems, soil mapping, insect/pest management, weeds management, yield estimation and prediction etc., are heavily relying on AI (including machine and deep learning) based techniques and technologies. Moreover, advanced crop harvesting technologies, fruit picking robots and drones are also getting popularity in the precision agriculture. However, 4R strategy (right place, right time, right rate and right product) can help to enhance the crop production to ensure the food security globally.

In this Special Issue, we invite authors to publish their research on a wide range of Artificial Intelligence (AI) applications for smart farming research (experimental–laboratory, pilot, or actual-scale) and analysis methods.

Potential topics include, but are not limited to:

• Role of machine learning in Agriculture
• Software solutions for smart farming
• Object detection in crops management
• AI based decision support system for agriculture
• Development of variable rate fertilizer technologies
• Deep learning for yield prediction in smart farming
• Unmanned aerial vehicles for smart spraying and monitoring
• Development and evaluation of variable rate spraying technologies
• Robotic systems for reducing the farming inputs and environmental impact
• Precision agriculture, digital agriculture, e-agriculture and smart farming for food security
• Crop water productivity estimation and modeling using hybrid algorithms
• Soil water retention, conservation, mapping and management

Prof. Dr. Muhammad Jehanzeb Masud Cheema
Dr. Muhammad Aqib
Dr. Ahmed Elbeltagi
Dr. Shoaib Rashid Saleem
Dr. Saddam Hussain
Guest Editors

Manuscript Submission Information

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