[HTML][HTML] Uncertainty in non-CO2 greenhouse gas mitigation contributes to ambiguity in global climate policy feasibility

M Harmsen, C Tabak, L Höglund-Isaksson… - Nature …, 2023 - nature.com
Despite its projected crucial role in stringent, future global climate policy, non-CO2
greenhouse gas (NCGG) mitigation remains a large uncertain factor in climate research. A …

[HTML][HTML] A research road map for responsible use of agricultural nitrogen

M Udvardi, FE Below, MJ Castellano… - … in Sustainable Food …, 2021 - frontiersin.org
Nitrogen (N) is an essential but generally limiting nutrient for biological systems.
Development of the Haber-Bosch industrial process for ammonia synthesis helped to relieve …

[HTML][HTML] Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning

H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng… - Remote Sensing, 2020 - mdpi.com
Optimizing nitrogen (N) management in rice is crucial for China's food security and
sustainable agricultural development. Nondestructive crop growth monitoring based on …

[HTML][HTML] Recent advances in agronomic and physio-molecular approaches for improving nitrogen use efficiency in crop plants

T Javed, II, RK Singhal, R Shabbir, AN Shah… - Frontiers in Plant …, 2022 - frontiersin.org
The efficiency with which plants use nutrients to create biomass and/or grain is determined
by the interaction of environmental and plant intrinsic factors. The major macronutrients …

Improving nitrogen use efficiency and reducing nitrogen surplus through best fertilizer nitrogen management in cereal production: The case of India and China

TB Sapkota, R Takele - Advances in Agronomy, 2023 - Elsevier
China and India are the two top consumers of fertilizer nitrogen (N) in the world not only to
provide food security to 36% of the global population living in the two countries but also due …

Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn

X Wang, Y Miao, R Dong, H Zha, T Xia, Z Chen… - European Journal of …, 2021 - Elsevier
Reliable and efficient in-season nitrogen (N) status diagnosis and recommendation methods
are crucially important for the success of crop precision N management (PNM). The …

[HTML][HTML] Using hand-held chlorophyll meters and canopy reflectance sensors for fertilizer nitrogen management in cereals in small farms in developing countries

AM Ali - Sensors, 2020 - mdpi.com
To produce enough food, smallholder farmers in developing countries apply fertilizer
nitrogen (N) to cereals, sometimes even more than the local recommendations. During the …

[HTML][HTML] Corn nitrogen nutrition index prediction improved by integrating genetic, environmental, and management factors with active canopy sensing using machine …

D Li, Y Miao, CJ Ransom, GM Bean, NR Kitchen… - Remote Sensing, 2022 - mdpi.com
Accurate nitrogen (N) diagnosis early in the growing season across diverse soil, weather,
and management conditions is challenging. Strategies using multi-source data are …

Improving active canopy sensor-based in-season rice nitrogen status diagnosis and recommendation using multi-source data fusion with machine learning

J Lu, E Dai, Y Miao, K Kusnierek - Journal of Cleaner Production, 2022 - Elsevier
Accurate and non-destructive diagnosis of crop nitrogen (N) surplus and deficit status based
on N nutrition index (NNI) is crucially important for the success of precision N management …

Comparison between vegetation indices for detecting spatial and temporal variabilities in soybean crop using canopy sensors

F Morlin Carneiro, CE Angeli Furlani, C Zerbato… - Precision …, 2020 - Springer
Crop monitoring through remote sensing techniques enable greater knowledge of average
variability in crop growth. Canopy sensors help provide information on the variability of crop …