AI can empower agriculture for global food security: challenges and prospects in develo** nations
Food and nutrition are a steadfast essential to all living organisms. With specific reference to
humans, the sufficient and efficient supply of food is a challenge as the world population …
humans, the sufficient and efficient supply of food is a challenge as the world population …
TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates
Maize is one of the major crops in China. The soil water content (SWC) in the root zone of
maize is a critical indicator that guides agricultural production decisions and can affect …
maize is a critical indicator that guides agricultural production decisions and can affect …
A multihead LSTM technique for prognostic prediction of soil moisture
Prognostic prediction of soil moisture is a critical step in various fields such as geotechnical
engineering, agriculture, geology, hydrology, and climatology. For example, in agricultural …
engineering, agriculture, geology, hydrology, and climatology. For example, in agricultural …
Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images
Q Zhang, M Liu, Y Zhang, D Mao, F Li, F Wu, J Song… - Remote Sensing, 2023 - mdpi.com
Soil total nitrogen (STN) is a crucial component of the ecosystem's nitrogen pool, and
accurate prediction of STN content is essential for understanding global nitrogen cycling …
accurate prediction of STN content is essential for understanding global nitrogen cycling …
Comparison of random forest and kriging models for soil organic carbon map** in the Himalayan Region of Kashmir
The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in
sustainable land-use management and ecosystem functioning. No such study has been …
sustainable land-use management and ecosystem functioning. No such study has been …
Comparative analysis of machine and deep learning models for soil properties prediction from hyperspectral visual band
Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for
studying their correlation with plant health and food production. However, conventional …
studying their correlation with plant health and food production. However, conventional …
National-scale spatial prediction of soil organic carbon and total nitrogen using long-term optical and microwave satellite observations in Google Earth Engine
T Zhou, W Lv, Y Geng, S ** the maximum peat thickness of cultivated organic soils in the southwest plain of Montreal
Large organic deposits in the southwestern plain of Montreal have been converted to
agricultural land for vegetable production. In addition to the variable depth of the organic …
agricultural land for vegetable production. In addition to the variable depth of the organic …
[HTML][HTML] A new digital soil map** approach based on the adjacency effect
Accurate soil map** is crucial for agriculture, land, ecosystem and environmental
management. Digital Soil Map** (DSM) is one of the most conventional and widely used …
management. Digital Soil Map** (DSM) is one of the most conventional and widely used …
Evaluating different machine learning algorithms for snow water equivalent prediction
The purpose of current study is to predict Snow Water Equivalent (SWE) in Sohrevard
watershed, Iran, using different machine learning algorithms such as Bayesian Artificial …
watershed, Iran, using different machine learning algorithms such as Bayesian Artificial …