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 …

The development of China-DNDC and review of its applications for sustaining Chinese agriculture

H Li, L Wang, J Li, M Gao, J Zhang, J Zhang, J Qiu… - Ecological …, 2017 - Elsevier
During the past century Chinese agriculture has been struggling to produce more food to
support the ever growing population, while dealing with the increased degradation of air …

A review of modeling approaches for ecosystem services assessment in the Asian region

K Shoyama, C Kamiyama, J Morimoto, M Ooba… - Ecosystem …, 2017 - Elsevier
The use of various modeling approaches is critical in the assessment of ecosystem services.
Although numerous assessments have been conducted as scholarly studies to quantify …

Impact assessment of climate change and human activities on GHG emissions and agricultural water use

YH Tang, XB Luan, JX Sun, JF Zhao, YL Yin… - Agricultural and Forest …, 2021 - Elsevier
The agriculture sector is one of the largest users of water and a significant source of
greenhouse gas (GHG) emissions. The development of low-GHG-emission and water …

Modeling CH4 and N2O emission patterns and mitigation potential from paddy fields in Shanghai, China with the DNDC model

Z Zhao, L Cao, J Deng, Z Sha, C Chu, D Zhou, S Wu… - Agricultural …, 2020 - Elsevier
The flooded paddy field ecosystem is an important source of CH 4 and N 2 O emissions from
agricultural lands. Denitrification-Decomposition (DNDC), a process-based model, was used …

Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms

J Zhang, Z Fu, K Zhang, J Li, Q Cao, Y Tian… - … and Electronics in …, 2023 - Elsevier
The modern in-season crop N recommendation approaches should have high reliability in
promoting agricultural sustainability. These approaches are relevant to soil properties …

Ridge–furrow rainfall harvesting system helps to improve stability, benefits and precipitation utilization efficiency of maize production in Loess Plateau region of China

G Chen, P Wu, J Wang, P Zhang, Z Jia - Agricultural Water Management, 2022 - Elsevier
The ridge–furrow rainfall harvesting (RFRH) system is considered an effective strategy for
improving crop productivity and it has been adopted increasingly in the arid and semiarid …

Agronomic and physiological performance of indica/japonica hybrid rice cultivar under low nitrogen conditions

G Chu, S Chen, C Xu, D Wang, X Zhang - Field Crops Research, 2019 - Elsevier
It is generally believed that indica/japonica hybrid rice (IJHR) cultivars have a higher yield
potential under high nitrogen (N) supply, but it is not established whether IJHR could obtain …

[HTML][HTML] Improvement of Root Characteristics Due to Nitrogen, Phosphorus, and Potassium Interactions Increases Rice (Oryza sativa L.) Yield and Nitrogen Use …

M Du, W Zhang, J Gao, M Liu, Y Zhou, D He, Y Zhao… - Agronomy, 2021 - mdpi.com
Although nitrogen (N), phosphorus (P), and potassium (K) co-application improves crop
growth, yield, and N use efficiency (NUE) of rice, few studies have investigated the …

Sustainable management of land, water, and fertilizer for rice production considering footprint family assessment in a random environment

M Li, Q Fu, VP Singh, D Liu, T Li, J Li - Journal of Cleaner Production, 2020 - Elsevier
Effective management of land, water, and fertilizer resources for rice production is critical for
efficient and sustainable agriculture but is challenging due to the uncertainties associated …