Artificial intelligence (AI) in agriculture

SY Liu - IT professional, 2020 - ieeexplore.ieee.org
The articles in this special section examine the use of artificial intelligence in the farming and
agricultural industries. According to the Food and Agriculture Organization of the United …

[HTML][HTML] How to improve CHMs quality: Enlighten from CHMs ecological cultivation

P Cao, G Wang, X Wei, S Chen, J Han - Chinese Herbal Medicines, 2021 - Elsevier
Chinese herbal medicines (CHMs) are one of the important bioresources of medicine, which
works by unlocking nature's ability to prevent diseases and recover from illnesses. Recently …

Modelling spatio-temporal patterns of soil carbon and greenhouse gas emissions in grazing lands: Current status and prospects

J Wang, Y Li, EW Bork, GM Richter, HI Eum… - Science of the Total …, 2020 - Elsevier
The sustainability of grazing lands lies in the nexus of human consumption behavior,
livestock productivity, and environmental footprint. Due to fast growing global food demands …

[HTML][HTML] Spatio-temporal evolution characteristics and simulation prediction of carbon storage: A case study in Sanjiangyuan Area, China

X Wu, C Shen, L Shi, Y Wan, J Ding, Q Wen - Ecological Informatics, 2024 - Elsevier
Understanding the relationship between land-use patterns and regional carbon storage, as
well as predicting future land-use changes for regional carbon sink and emission …

Carbon emissions inventory of farm size pig husbandry combining Manure-DNDC model and IPCC coefficient methodology

Q Li, M Gao, J Li - Journal of Cleaner Production, 2021 - Elsevier
The increasing demand for pork products has contributed to the increase in greenhouse gas
emissions (GHG). Based on survey data of pig farms in Yancheng, Jiangsu Province, China …

Modelling soil salinity effects on salt water uptake and crop growth using a modified denitrification-decomposition model: A phytoremediation approach

SHH Shah, J Wang, X Hao, BW Thomas - Journal of environmental …, 2022 - Elsevier
Soil salinization is a widespread problem affecting global food production. Phytoremediation
is emerging as a viable and cost-effective technology to reclaim salt-affected soil. However …

Sustainable water and nitrogen optimization to adapt to different temperature variations and rainfall patterns for a trade-off between winter wheat yield and N2O …

C Wang, Z Qi, J Zhao, Z Gao, J Zhao, F Chen… - Science of the Total …, 2023 - Elsevier
Optimizing irrigation and nitrogen (N) fertilizer applications is essential to ensure crop yields
and lower environmental risks under climate change. The DeNitrification-DeComposition …

Modelling carbon dioxide emissions under a maize-soy rotation using machine learning

NA Abbasi, A Hamrani, CA Madramootoo, T Zhang… - Biosystems …, 2021 - Elsevier
Climatic parameters influence CO 2 emissions and the complexity of the relationship is not
fully captured in biophysical models. Machine learning (ML) is now being applied to …

[HTML][HTML] Optimization of a nitrogen fertilizer application scheme for spring maize in full-film double-ridge furrow in Longzhong, China

Y Liu, S Li, Y Liu, H Shen, T Huang, X Ma - Agricultural Water Management, 2023 - Elsevier
Full-film double-ridge furrow sowing technology (FDRFST) and nitrogen (N) management
are crucial for sustainable agricultural development. To investigate the N fertilizer …

Influence of rye cover cropping on denitrification potential and year-round field N2O emissions

ME Foltz, AD Kent, S Koloutsou-Vakakis… - Science of the Total …, 2021 - Elsevier
Cover cropping is beneficial for reducing soil erosion and nutrient losses, but there are
conflicting reports on how cover cropping affects emissions of nitrous oxide (N 2 O), a potent …