Remote sensing monitoring of rice and wheat canopy nitrogen: A review

J Zheng, X Song, G Yang, X Du, X Mei, X Yang - Remote Sensing, 2022 - mdpi.com
Nitrogen (N) is one of the most important elements for crop growth and yield formation.
Insufficient or excessive application of N fertilizers can limit crop yield and quality, especially …

Optimizing nitrogen fertilization to enhance productivity and profitability of upland rice using CSM–CERES–Rice

T Hussain, DJ Mulla, N Hussain, R Qin, M Tahir, K Liu… - Plants, 2023 - mdpi.com
Nitrogen (N) deficiency can limit rice productivity, whereas the over-and underapplication of
N results in agronomic and economic losses. Process-based crop models are useful tools …

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 …

Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River

X Shi, K Hu, WD Batchelor, H Liang, Y Wu… - Agricultural Water …, 2020 - Elsevier
Excessive fertilization in rice paddy fields leads to surface water eutrophication, groundwater
contamination and air pollution. Determining optimum nitrogen (N) management is essential …

A scoping review of side-dress nitrogen recommendation systems and their perspectives in precision agriculture

M Corti, V Fassa, L Bechini - Italian Journal of Agronomy, 2022 - air.unimi.it
A scoping review of the relevant literature was carried out to identify the existing N
recommendation systems, their temporal and geographical diffusion, and knowledge gaps …

Grain yield estimation in rice breeding using phenological data and vegetation indices derived from UAV images

H Ge, F Ma, Z Li, C Du - Agronomy, 2021 - mdpi.com
The accurate estimation of grain yield in rice breeding is crucial for breeders to screen and
select qualified cultivars. In this study, a low-cost unmanned aerial vehicle (UAV) platform …

Meta analysis on the evaluation and application of DSSAT in South Asia and China: Recent studies and the way forward

EA Dar, G Hoogenboom… - Journal of …, 2023 - journal.agrimetassociation.org
Abstract The Decision Support System for Agrotechnology transfer (DSSAT) is a global
modelling platform that encompasses crop models for more than 40 different crops. The …

Developing a proximal active canopy sensor-based precision nitrogen management strategy for high-yielding rice

J Lu, Y Miao, W Shi, J Li, X Hu, Z Chen, X Wang… - Remote sensing, 2020 - mdpi.com
RapidSCAN is a portable active canopy sensor with red, red-edge, and near infrared
spectral bands. The objective of this study is to develop and evaluate a RapidSCAN sensor …

Regional modelling of rice yields and nitrogen loss in Hubei Province using the WHCNS model

C Li, X Shi, WD Batcholer, P Feng, K Hu - Agricultural Systems, 2025 - Elsevier
CONTEXT Excessive nitrogen (N) fertilization has led to serious environmental problems.
Exploring the spatial distribution of rice yields and N loss is crucial to determine optimal N …

RETRACTED ARTICLE: Machine learning based classifying polluted soil health and productivity analysis in Tamil Nadu delta area in water management system

M Meenakshi, R Naresh - Soft Computing, 2023 - Springer
The soil consists of organic mixture and mineral components, with air and water forming the
spaces between them. To keep the soil nutrients within the limits of Field Potential and …