[HTML][HTML] In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series

I Gallo, L Ranghetti, N Landro, R La Grassa… - ISPRS Journal of …, 2023 - Elsevier
An accurate, frequently updated, automatic and reproducible mapping procedure to identify
seasonal cultivated crops is a prerequisite for many crop monitoring activities. Deep learning …

Evaluation of earth observations and in situ data assimilation for seasonal hydrological forecasting

JL Musuuza, L Crochemore… - Water Resources …, 2023 - Wiley Online Library
Earth observations (EOs) are a valuable complement to in situ measurements in hydrology
because they provide information in locations where direct measurements are unavailable …

High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal

M Bottazzi, L Rodríguez‐Muñoz… - Meteorological …, 2024 - Wiley Online Library
The Italian territory is located at the heart of one of the global hot spots of climate change,
where the implementation of climate‐smart land management practices is imperative to …

[HTML][HTML] The Identification of Manure Spreading on Bare Soil through the Development of Multispectral Indices from Sentinel-2 Data: The Emilia-Romagna Region …

M Dubbini, M Belluzzo, V Zanni Bertelli, A Pirola… - Sensors, 2024 - mdpi.com
Satellite remote sensing is currently an established, effective, and constantly used tool and
methodology for monitoring agriculture and fertilisation. At the same time, in recent years …

The occurrence of a flagship raptor species in intensive agroecosystems is associated with more diverse farmland bird communities: Opportunities for market-based …

G Assandri, G Bazzi, L Siddi, R Nardelli… - Agriculture, Ecosystems …, 2023 - Elsevier
Traditional livestock systems have supported farmland biodiversity for millennia. However,
modern intensive husbandry is challenging wildlife persistence in agroecosystems. We …

[HTML][HTML] Public irrigation decision support systems (IDSS) in Italy: Description, evaluation and national context overview

M Sportelli, A Crivello, M Bacco, G Rallo… - Smart Agricultural …, 2024 - Elsevier
This survey comprehensively examines the public irrigation decision support systems (IDSS)
in Italy, offering a detailed description, analysis and evaluation of their features. The study …

A framework for joint verification and evaluation of seasonal climate services across socio-economic sectors

L Crochemore, S Materia, E Delpiazzo… - Bulletin of the …, 2024 - journals.ametsoc.org
Assessing the information provided by co-produced climate services is a timely challenge
given the continuously evolving scientific knowledge and its increasing translation to …

Estimating irrigation demand based on seasonal climate forecasts

BS Ranke, LN Rodrigues, SC Chou - Revista Brasileira de …, 2024 - SciELO Brasil
In regions with water shortages, detailed planning on water resource use is essential. The
use of climate models for short-and medium-range forecasts is an important strategy for …

Skillful US Soy Yield Forecasts at Presowing Lead Times

S Vijverberg, R Hamed… - Artificial Intelligence for …, 2023 - journals.ametsoc.org
Soy harvest failure events can severely impact farmers, insurance companies, and raise
global prices. Reliable seasonal forecasts of misharvests would allow stakeholders to …

[PDF][PDF] Smart Agricultural Technology

This survey comprehensively examines the public irrigation decision support systems (IDSS)
in Italy, offering a detailed description, analysis and evaluation of their features. The study …