Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges

Drones, Journal Year: 2024, Volume and Issue: 8(11), P. 686 - 686

Published: Nov. 19, 2024

In the face of growing challenges in modern agriculture, such as climate change, sustainable resource management, and food security, drones are emerging essential tools for transforming precision agriculture. This systematic review, based on an in-depth analysis recent scientific literature (2020–2024), provides a comprehensive synthesis current drone applications agricultural sector, primarily focusing studies from this period while including few notable exceptions particular interest. Our study examines detail technological advancements systems, innovative aerial platforms, cutting-edge multispectral hyperspectral sensors, advanced navigation communication systems. We analyze diagnostic applications, crop monitoring mapping, well interventional like spraying drone-assisted seeding. The integration artificial intelligence IoTs analyzing drone-collected data is highlighted, demonstrating significant improvements early disease detection, yield estimation, irrigation management. Specific case illustrate effectiveness various crops, viticulture to cereal cultivation. Despite these advancements, we identify several obstacles widespread adoption, regulatory, technological, socio-economic challenges. particularly emphasizes need harmonize regulations beyond visual line sight (BVLOS) flights improve economic accessibility small-scale farmers. review also identifies key opportunities future research, use swarms, improved energy autonomy, development more sophisticated decision-support systems integrating data. conclusion, underscore transformative potential technology sustainable, productive, resilient agriculture global 21st century, highlighting integrated approach combining innovation, adapted policies, farmer training.

Language: Английский

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of <em>Xanthomonas arboricola </em>pv. juglandis? Review.

Published: Jan. 17, 2024

Walnut (Juglans regia L.) is a monoecious species and although it exhibits self-compatibility, presents incomplete overlap of pollen shed female receptivity. Thus, cross-pollination prerequisite for optimal fruit production. Cross-pollination can occur naturally by the wind, insects, artificially, or hand. Pollen has been recognized as one possible pathway Xanthomonas arboricola pv. juglandis infection, pathogenic bacterium responsible walnut blight disease. Other than well-known cultural chemical control practices, artificial pollination technologies with use drones could be successful tool disease management orchards. Drones may carry release over crops mimic action bees other pollinators. Although this new technology regarded promising tool, germination knowledge dissemination bacterial diseases remain crucial information design manufacture aerial pollinator robot trees. our purpose was to describe model fundamental components, identification “core” microbiota, specify an appropriate flower algorithm, autonomous precision robot, minimize average errors algorithm parameters through machine learning meta-heuristic algorithms.

Language: Английский

Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(13), P. 5926 - 5926

Published: July 7, 2024

Plant diseases pose a significant threat to plant and crop health, leading reduced yields economic losses. The traditional methods for diagnosing are often invasive time-consuming may not always provide accurate results. In recent years, there has been growing interest in utilizing Raman microscopy as non-invasive label-free technique disease diagnosis. is powerful analytical tool that can detailed molecular information about samples by analyzing the scattered light from laser beam. This potential revolutionize diagnosis offering rapid detection of various pathogens, including bacteria fungi. One key advantages microscopy/spectroscopy its ability real-time situ analyses samples. By unique spectral fingerprints different researchers quickly identify presence specific without need complex sample preparation or procedures. article discusses development microspectroscopy system accurately detect such

Language: Английский