The importance of UAV applications and uses in Agriculture 4.0

Under pressure from climate change and the need to ensure production resilience, modern agriculture is shifting towards management strategies based on advanced monitoring systems. This approach, known as Agriculture 4.0 or 5.0, aims to optimize resource use and adapt to evolving conditions. However, the deployment of such tools cannot be incidental; to optimize resources and resilience, it is necessary to strategically determine the optimal positioning and the specific typology of sensors to be employed.

Optimizing resources requires correct knowledge of the soil-plant-atmosphere (SPA) system. This objective demands a holistic understanding of the soil, plant, and atmosphere. Based on this knowledge, management decisions regarding nutrients and irrigation are made by subdividing the field into Management Zones or Homogeneous Zones (HZs). A detailed analysis of soil properties and crop responses allows for site-specific distribution of resources and the identification of Functional Homogeneous Zones (fHZs), which are directly related to SPA dynamic processes and ecosystem functions.

The identification of HZs and fHZs passes through a critical characterization phase where geosciences play a transformative role. This contribution demonstrates how UAVs equipped with different cameras enable the classification of these zones through varying levels of complexity. These methods promote Agriculture 4.0 goals by optimizing field sensor deployment—significantly reducing costs—and improving resource allocation, which enhances farm incomes and systemic resilience.

Geophysical investigations provide the spatial intelligence to plan sensor networks correctly, ensuring they capture actual landscape variability. We propose an integrated framework combining UAVs, geophysical surveys, and mechanistic modeling. UAVs with multispectral sensors and topographic tools monitor crop status and phenological plasticity with high precision. These data, integrated with proximal geophysical investigations like Electromagnetic Induction (EMI) and magnetic mapping, allow for non-invasive characterization of sub-surface soil heterogeneity. This approach reduces costs associated with blind sensor installation and trial-and-error management, providing a roadmap for Decision Support Systems (DSS). Through mechanistic modeling, the framework simulates water and nutrient dynamics, providing indicators of soil health and plant stress. Ultimately, UAV-based geophysics and hydropedological modeling represent transformative tools to safeguard ecosystem services and promote sustainable, economically viable agricultural landscapes.

Keywords: Agriculture 4.0 & 5.0, UAV Support, Sensor Network Optimization, Geoscience, SPA Continuum, Climate Resilience.