Alessia Cogato

Soil Compaction and Irrigation Management: Implications of Soil Hydraulic Changes for Precision Agriculture

Alessia Cogato, Lucia Bortolini

Soil compaction is one of the main forms of physical soil degradation affecting agricultural productivity. Although its effects on soil structure and crop growth have been extensively investigated, their implications for irrigation management have received little attention. This review synthesises current knowledge …

it (code pays fourni par la source)

Seasonal Soil Compaction Risk Mapping for Agricultural Management Using Earth Observation Data and Multi-Criteria Analysis in Italy

Deepak Kumar Yadav, Francesco Marinello, Filippo Iodice, Alessia Cogato

Soil compaction is a widespread yet insufficiently monitored form of agricultural land degradation, affecting approximately 25% of global soils and nearly 33% of European subsoils, with consequential reductions in soil physical functionality, crop performance, and long-term sustainability; however, approaches for national-scale compaction …

it, de (code pays fourni par la source)

Evolution of power and mass in specialised agricultural tractors: trend analysis

Deepak Kumar Yadav, Tatevik Yezekyan, Alessia Cogato, Marco Sozzi et autres

Specialised narrow-profile tractors for vineyards and orchards constitute a critical and technically distinct segment of the agricultural machinery market, operating under strict dimensional constraints that fundamentally differentiate their design logic from that of conventional field tractors. Despite their agronomic importance, the long-term …

it (code pays fourni par la source)

Assessing vineyard irrigation uniformity and drip system malfunction by remote and ground sensing: Insights from Sentinel-1, Sentinel-2 and Planet monitoring

Marco Sozzi, Francesco Salmaso, Alessia Cogato, Lucia Bortolini

This research assesses the efficacy of satellite imagery from Sentinel-1, Sentinel-2, and Planet constellations in monitoring irrigation uniformity and identifying malfunctions in a vineyard’s drip irrigation system at farm-level. Utilizing Volumetric Water Content (VWC) from Sentinel-1 and the Normalized Difference Vegetation Index …

Prediction of Grape Yield and Berry Composition through Multispectral and Thermal Data Fusion

Shaikh Yassir Yousouf Jewan, Ajit Kumar Singh, Debbie L. Sparkes, Erik Harry Murchie et autres

gb, au (code pays fourni par la source)

Climate-Adaptive Irrigation Management in Venetian Reclamation Consortia (Italy)

Francesco Salmaso, Alessia Cogato, Lucia Bortolini

Climate change poses increasing challenges to Reclamation Consortia, which must ensure equitable and sustainable water distribution under conditions of growing scarcity. This study evaluates supplemental irrigation management strategies adopted by three Reclamation Consortia in the Venetian Plain (Northeast Italy): Piave, Veneto Orientale …

it (code pays fourni par la source)

Irrigation-Driven Vineyard Resilience to Climate Variability: A Sentinel-2-Based Preliminary Approach

Alessia Cogato, Alessandro Zanchin, Marco Sozzi, Lucia Bortolini et autres

Understanding the drivers of interannual variability in vineyard spectral response is critical for optimising precision viticulture practices under changing climatic conditions. Precision irrigation relies on models based on the interaction between weather conditions and crop responses. This study aimed to evaluate how …

it (code pays fourni par la source)

Satellite-Derived Indices and Intensity of Agricultural Practices Can Be Integrated into a GIS-AHP Framework for Mapping Susceptibility to Soil Compaction

Deepak Kumar Yadav, Alessia Cogato, Marco Sozzi, Filippo Iodice et autres

Soil compaction is a pervasive form of land degradation that reduces pore space, increases bulk density, and impairs aeration, water infiltration, and root growth. It affects roughly one-quarter of global farmland and tens of millions of hectares in Europe, threatening crop productivity …

it (code pays fourni par la source)

“From data to fork” data-driven science inspired by policy initiatives for the promotion of smart agricultural technologies

Alessia Cogato, Calogero Schillaci

The special issue “From data to Fork” gathered 15 papers from all over the world in cross-cutting areas of Smart Agriculture Research, including new algorithm development for the agricultural sector, food security, and ecosystem well-being and several study cases. We promoted the …

it, be (code pays fourni par la source)

Smart Horticulture: Latest Advances and Prospects

Alessia Cogato, Marco Sozzi, Nebojša Nikolić, Eve Laroche-Pinel

The latest Hunger Hotspots Report by the Food and Agriculture Organisation (FAO) and the World Food Programme (WFP) of the United Nations highlighted 16 hotspots in which food insecurity is increasing due to conflict, economic instability, and extreme weather events [...]

it, us (code pays fourni par la source)

Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition

Shaikh Yassir Yousouf Jewan, Deepak S. Gautam, Debbie L. Sparkes, Ajit Kumar Singh et autres

Accurately predicting grapevine yield and quality is critical for optimising vineyard management and ensuring economic viability. Numerous studies have reported the complexity in modelling grapevine yield and quality due to variability in the canopy structure, challenges in incorporating soil and microclimatic factors, …

gb, my, au, it (code pays fourni par la source)

Satellite Monitoring of Italian Vineyards and Spatio-Temporal Variability Assessment

Alessandro Zanchin, Alessia Cogato, Marco Sozzi, Diego Tomasi et autres

Sentinel-2 (S2) is widely considered a reliable satellite constellation for monitoring several crops, such as grapevine (Vitis vinifera L.). A large dataset of Italian vineyards randomly chosen was monitored with S2 from 2017 to 2022. Two vegetation indices (VIs) and their statistics …

it (code pays fourni par la source)