Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022 - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

[HTML][HTML] Mainstreaming biodiversity in business decisions: Taking stock of tools and gaps

PG Katic, S Cerretelli, J Haggar, T Santika… - Biological Conservation, 2023 - Elsevier
Most businesses depend on biodiversity, either directly, indirectly as ecosystem services, or
through their supply chains. In negatively impacting biodiversity, businesses risk losing …

Annual paddy rice planting area and crop** intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020

J Han, Z Zhang, Y Luo, J Cao, L Zhang, H Zhuang… - Agricultural …, 2022 - Elsevier
CONTEXT Timely information on the spatiotemporal trends in annual paddy rice planting
areas (PRA) and crop** intensity (CI) in Asia is important for food security warnings and …

Biodiversity responses to agricultural practices in cropland and natural habitats

J Zhao, L Yu, T Newbold, X Shen, X Liu, F Hua… - Science of the Total …, 2024 - Elsevier
Largely driven by agricultural pressures, biodiversity has experienced great changes
globally. Exploring biodiversity responses to agricultural practices associated with …

Potassium limits productivity in intensive cereal crop** systems in Southeast Asia

G Rizzo, F Agus, Z Susanti, R Buresh, KG Cassman… - Nature Food, 2024 - nature.com
Potassium (K) has received little attention as a potential yield-limiting factor in crop**
systems. Here we investigated the K status in intensive cereal crop** systems in …

Optimized agricultural management reduces global cropland nitrogen losses to air and water

L You, GH Ros, Y Chen, F Zhang, W de Vries - Nature Food, 2024 - nature.com
Nitrogen (N) losses from croplands substantially contribute to global N pollution. Assessing
the reduction in N losses through improved N management practices is complex due to …

A robust approach for large-scale crop** intensity map** in smallholder farms from vegetation, brownness indices and SAR time series

B Qiu, X Hu, P Yang, Z Tang, W Wu, Z Li - ISPRS Journal of …, 2023 - Elsevier
Multiple crop** is a widespread agricultural intensification for increasing food production.
National-scale Crop** Intensity (CI) map** is important for achieving sustainable …

Map** the complex crop rotation systems in Southern China considering crop** intensity, crop diversity, and their seasonal dynamics

Y Liu, Q Yu, Q Zhou, C Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Crop rotation increases crop yield, improves soil health, and reduces plant disease.
Map** crop rotation is difficult because crop data from a single time point do not …

[HTML][HTML] From cropland to cropped field: A robust algorithm for national-scale map** by fusing time series of Sentinel-1 and Sentinel-2

B Qiu, D Lin, C Chen, P Yang, Z Tang, Z **… - International Journal of …, 2022 - Elsevier
Detailed and updated maps of actively cropped fields on a national scale are vital for global
food security. Unfortunately, this information is not provided in existing land cover datasets …