There are 0 repository under soil-survey topic.
Predictive Soil Mapping with R (book)
S4SS: Statistics for Soil Survey
An R package that assists with the setup and operation of a collection of soil data summary, comparison, and evaluation reports. These reports are primarily used by USDA-NRCS soil scientists in both initial and update mapping.
A System of Soil Classification for Making and Interpreting Soil Surveys
user driven SSURGO properties and interpretations
The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.
Tools for 'Field Indicators of Hydric Soils'
An advanced soil moisture sensor with micro energy harvesting technology which allows you to use the sensor without the need for constantly recharging it. It operates on wireless technology makig it easy to use and ready to deploy in fields
Disaggregation of Conventional Soil Maps, PhD thesis
We chose this topic as a part of our BTech-Project. I worked on a neural network based gaussian process (also known as neural process) to model the realisations of stochastic phenomenon. My main aim was to leverage modern deep learning techniques and geoscience to assist farmers. It can provide an in-depth analysis of soil nutrients for a particular location so that farmers would be able to grow crops in abundance without any loss.
An android app to capture the user, location and farmss data and connect with the soil-testing device, Farms-Product to generate the N,P,K, pH etc. (Soil parameter result) and recommend the crop based on the parameter and generate the fertilizer report.
A Django web application that helps farmers interprete soil analysis results and give recommendations
A curated list of software, tools, pipelines, plugins etc. for image analysis with particular focus on tools for GIS photogrammetry, remote sensing, topographic imagery analysis.
DirtLENS offers precise soil and geological analysis through its innovative light chamber boroscope, providing valuable insights for agriculture, archaeology, and geology. Boasting an intuitive interface, this versatile app caters to both professionals and non-experts in earth science applications.
The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images.
SCMA work now in https://github.com/ANZSoilData/def-au-scma
Microsoft Planetary Computer - gNATSGO
Digital Summaries of Pedon Descriptions
App for the scientific tracking of soil horizons using the WRB
Soil mapping and sampling in New Zealand
Soil Temperature in the Mojave Desert
An open source soil classifier