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mdpi.com
mdpi.com > 2076-16/17/3417 > 8869

Applied Sciences, Vol. 16, Pages 8869: Engineering of Smart Agriculture—2nd Edition

5+ day, 20+ hour ago   (32+ words) Modern agricultural production is one of the most technologically advanced sectors and is undergoing intensive transformation, driven by the development of digital technologies, measurement systems, automated data analysis methods, and artificial intelligence [...]...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8575

Applied Sciences, Vol. 16, Pages 8575: A Hybrid Computing Power Demand Prediction and Proactive Resource Scheduling Method for Edge Computing in Smart Agriculture

2+ week, 1+ day ago   (457+ words) Modern smart agriculture increasingly relies on edge computing for real-time, high-concurrency tasks such as wide-area drone-based crop monitoring. However, highly volatile workloads and severe environmental noise in agricultural Internet of Things (IoT) networks often lead to resource congestion and high…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8457

Applied Sciences, Vol. 16, Pages 8457: Multispectral UAV-Based Detection of Phytophthora in Citrus Orchards Using RF-DETR with Spectral Index Fusion

2+ week, 4+ day ago   (444+ words) Phytophthora root and crown rot causes irreversible canopy decline in citrus before ground-level symptoms appear, yet UAV-based detection still relies almost exclusively on RGB imagery and, in citrus, on leaf-level classification rather than field-scale localisation. This work addresses that gap…...