Heterogeneity of spatial-temporal distribution of nitrogen in the karst rocky desertification soils and its implications for ecosystem service support of the desertification …
P Wan, K Xiong, L Zhang - Sustainability, 2022 - mdpi.com
In recent years, the study of soil nitrogen distribution (SND) in rocky desertification control
ecosystems has increased exponentially. Rocky desertification experiences severe …
ecosystems has increased exponentially. Rocky desertification experiences severe …
Mapping Cropland Soil Nutrients Contents Based on Multi-Spectral Remote Sensing and Machine Learning
W Zhang, L Zhu, Q Zhuang, D Chen, T Sun - Agriculture, 2023 - mdpi.com
Nitrogen (N) and phosphorus (P) are primary indicators of soil nutrients in agriculture.
Accurate management of these nutrients is essential for ensuring food security. High …
Accurate management of these nutrients is essential for ensuring food security. High …
[PDF][PDF] 机器学习在氮循环领域的应用研究进展
高志炜, 吴电明, 陈曦, 潘月鹏 - 土壤, 2023 - soils.issas.ac.cn
氮循环是地球圈层中水-土-气-生多介质, 多界面的复杂过程, 与土壤健康, 粮食安全, 全球变暖,
空气污染, 水体质量等环境问题密切相关. 近年来, 得益于计算机技术的快速发展和海量 …
空气污染, 水体质量等环境问题密切相关. 近年来, 得益于计算机技术的快速发展和海量 …
Canopy centre-based fuzzy-C-means clustering for enhancement of soil fertility prediction
M Sujatha, CD Jaidhar - International Journal of …, 2024 - inderscienceonline.com
For plants to develop, fertile soil is necessary. Estimating soil parameters based on time
change is crucial for enhancing soil fertility. Sentinel-2's remote sensing technology …
change is crucial for enhancing soil fertility. Sentinel-2's remote sensing technology …
SENTINEL-2, TOOL IN AGRI-FOOD SAFETY AND PRECISION AGRICULTURE
AD Lugo-Palacio, RE Lugo-Palacios… - Tropical and …, 2024 - revista.ccba.uady.mx
Background. Food production as the world population increases is an issue of global
importance, resulting in uncertainty around agri-food security (AS). It is essential to apply …
importance, resulting in uncertainty around agri-food security (AS). It is essential to apply …
Prediction and Interpretation of Total N and its key drivers in cultivated tropical peat using machine learning and game theory
HB Pulunggono, YA Madani, LL Nurazizah… - Celebes …, 2023 - untika.ac.id
Currently, there is a growing interest among research communities in the development of
statistical learning-based pedotransfer functions/PtFs to predict mineral soil nutrients; …
statistical learning-based pedotransfer functions/PtFs to predict mineral soil nutrients; …
Prediction of total soil nitrogen variations using three machine learning approaches and remote sensing data
The fluctuation of total soil nitrogen (TSN) levels, whether it be an excessive increase or
decrease, can result in microbial contamination, decreased vegetation coverage, and …
decrease, can result in microbial contamination, decreased vegetation coverage, and …