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Computational, AI and IT Solutions Helping Agriculture

This Special Issue was a natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extended further, covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT)...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2026
Fag:
Precision agriculture
Agriculture 4.0
Agriculture 5.0
Global change
Sustainable and secure food resources
Artificial intelligence (AI)
Machine learning (ML)
Deep learning (DL)
Internet of things (IoT)
Cloud computing
Edge computing
Smart devices
Smart solutions
Convolutional neural networks (CNN)
Classification
Object detection
Computer vision
Machine vision
Machine diagnostics
Web applications
Mobile apps
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Online adgang:ONIX_20260416T142754_9783725852895_39
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Summary:This Special Issue was a natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extended further, covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT) in modern agriculture. Currently, rapid changes are taking place at a planetary scale, including human population growth and global climatic and ecological changes, resulting in a call for immediate sustainable and secure smart solutions for food production, water supply, greenhouse (GHG) gas emissions, and environmental health. This Special Issue provided a stage for the innovative research of scientists and entrepreneurs involved in the development and application of various software products, and digital solutions for agriculture, agroecosystems, and natural ecosystems with applications in agriculture, to be presented. The submission of original articles and reviews involved mobile apps, web applications, internet platforms, Internet of Things (IoT) devices, cloud technologies, AI and machine learning (ML) methods, and applications for precision agriculture, monitoring, cultivation, harvesting, marketing, management, decision making, weather forecasting, optimization, natural language processing, computer/machine vision, drones, real-time detection systems, sensors for field operations, smart agriculture machinery, diagnostics, species and disease recognition, big data collection, scientific-process-based mathematical modeling, and machine learning modeling, which can contribute to modern agriculture now and in the future.

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