A5036576440- Sustainable Agricultural Systems Analysis
- Agricultural Economics and Policy
- Agriculture Sustainability and Environmental Impact
- Hydrology and Watershed Management Studies
- Diverse academic and cultural studies
- Urban Planning and Valuation
- Greenhouse Technology and Climate Control
- Smart Agriculture and AI
- Organic Food and Agriculture
- Soil erosion and sediment transport
- Soil Moisture and Remote Sensing
- Plant Water Relations and Carbon Dynamics
- Hydrology and Sediment Transport Processes
- Remote Sensing and LiDAR Applications
- Irrigation Practices and Water Management
- Rice Cultivation and Yield Improvement
- Food Supply Chain Traceability
- Agriculture and Rural Development Research
- IoT and Edge/Fog Computing
- Remote Sensing in Agriculture
- Agricultural Innovations and Practices
- Plant Ecology and Soil Science
- Plant Physiology and Cultivation Studies
- Groundwater flow and contamination studies
- Soil and Unsaturated Flow
University of Bologna
2012-2024
In this study, we analyze how crop management will benefit from the Internet of Things (IoT) by providing an overview its architecture and components agronomic technological perspectives. The present analysis highlights that IoT is a mature enabling technology with articulated hardware software components. Cheap networked devices can sense fields at finer grain to give timeliness warnings on presence stress conditions diseases wider range farmers. Cloud computing allows reliable storage,...
Autonomous robots in the agri-food sector are increasing yearly, promoting application of precision agriculture techniques. The same applies to online services and techniques implemented over Internet, such as Internet Things (IoT) cloud computing, which make big data, edge digital twins technologies possible. Developers autonomous vehicles understand that for must take advantage these on strengthen their usability. This integration can be achieved using different strategies, but existing...
Drone images from an experimental field cropped with sugar beet a high diffusion of weeds taken different flying altitudes were used to develop and test machine learning method for vegetation patch identification. Georeferenced combined hue-based preprocessing analysis, digital transformation by image embedder, evaluation supervised learning. Specifically, six the most common algorithms applied (i.e., logistic regression, k-nearest neighbors, decision tree, random forest, neural network,...
Water is crucial for enduring horticultural productivity, but high water-use requirements and declining water supplies with the changing climate challenge economic viability, environmental sustainability, social justice. While scholarly literature pertaining to management in horticulture abounds, knowledge of practices technologies that optimize use scarce. Here, we review scientific relating crops, impacts on resources, opportunities improving water- transpiration-use efficiency. We find...
Research networks provide a framework for review, synthesis and systematic testing of theories by multiple scientists across international borders critical addressing global-scale issues. In 2012, GHG research network referred to as MAGGnet (Managing Agricultural Greenhouse Gases Network) was established within the Croplands Group Global Alliance on (GRA). With involvement from 46 alliance member countries, seeks platform inventory analysis agricultural mitigation throughout world. To date,...
In a climate change scenario and under growing interest in Precision Agriculture, it is more important to map record seasonal trends of the respiration cropland natural surfaces. Ground-level sensors be placed field or integrated into autonomous vehicles are interest. this scope, low-power IoT-compliant device for measurement multiple surface CO2 WV concentrations have been designed developed. The described tested controlled conditions, showing ready easy access collected values typical...
Although describing the primary sector of a given country is common institutional practice, such studies usually offer aggregated information on holding rather than supplying required for farm-level simulations. The present study aimed to identify main typologies Italian farms from 2007 database RICA (the section European Union's Farm Accountancy Data Network). Using hierarchical strategy driven by climates (5) and slopes (3), have been grouped super-structure, described in terms presence...
The assessment of economic and environmental sustainability agricultural systems represents a critical issue, which has been addressed in this work with multi-objective programming model to explore the abatement costs (AC) CO2 for set representative contexts Italian arable land agriculture. study was based on FADN-compliant database RICA estimates emissions short time horizon, using linear compromise programming. data were used quantify technical parameters model, adopting an innovative...
In this paper we report our efforts to develop an inter-temporal model for the evaluation of impact organic farming on greenhouse gases emissions, that called BIOSUS-MAD. The focuses maximization farmer’s net income though different crops rotations constrained use resource inputs; outputs optimization process are numerical values key variables useful estimate a set social, economic and environmental indicators. These indicators will feed multi-criteria providing synthetic comparable...
50 year-long time series from a Long Term Agronomic Experiment have been used to investigate the effects of climate change on yields Wheat and Maize. Trends fluctuations, useful estimate production forecasts related risks are compared national ones, classical regional climatic index as Western Mediterranean Oscillation Index, global one given by Sun Spot Number. Data, denoised EMD SSA, show how SSN oscillations slowing down in last decades, affects scale dynamics, where two decades range...
Inversion methodology has been used to obtain, from multi-layer soil probes records, a complete parametrisation, namely water retention curve, unsaturated conductivity curve and bulk density at 4 depths. The approach integrates dynamics, hysteresis the effect of on extract parameters required most simulation models. method is applied sub-sets data collection, allowing understand that not every data-sets contains information for convergence. A comparison with experimental bulk-density values...
An experimental field cropped with sugar-beet a wide spreading of weeds has been used to test vegetation identification from drone visible imagery. Expert masked and hue-filtered pictures have train several Machine Learning algorithms develop semi-automatic methodology for mapping species at high resolution. Results show that 5m altitude allows obtaining maps an efficiency more than 90%. Such method can be easily integrated present VRHA, as much tools obtain detailed vegetation.
This work defines a procedure to assess the socio-economic and environmental sustainability of agricultural systems with particular attention conventional organic farming. Firstly, mathematical programming model calculates different multi-dimensional outcomes Italian farms depending on various levels prices affecting products. Those are input data for fuzzy multi-criteria analysis, which processes criteria, takes into account sets weights and, by ranking price scenarios, identifies most...