agricultural-modelling
There are 1 repository under agricultural-modelling topic.
bhavesh907 / Crop-Classification
crop classification using deep learning on satellite images
Language:Jupyter Notebook 88RentadroneCL / AI-Agro
Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops
Language:Jupyter Notebook 35ambakick / vriksha
An app made for Smart India Hackathon 2018. An idea to help farmers of India to sell their products at much higher rate and with ease. With a vision to positively impact agriculture industry in India.
Language:Java 24adamhsparks / epicrop
Simulation modelling of crop diseases using a Susceptible-Exposed-Infectious-Removed (SEIR) model in R
Language:R 23- Agricultural-SandboxNL
ManuelHuber-Github / Agricultural-SandboxNL
Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of the parcel based Sentinel datasets.
Language:Jupyter Notebook 20 association-rosia / crop-forecasting
Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.
Language:Jupyter Notebook 15- Language:R 10
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salihmarangoz / capsicum_superellipsoid_detector
Estimating shapes and volumes of Capsicum fruits (bell pepper) by fitting superellipsoids to 3D mapping data for autonomous crop monitoring tasks for ROS1
Language:Jupyter Notebook 10jgomezdans / accra_wkshp
Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra
Language:Jupyter Notebook 6ozak / Caloric-Suitability-Index
Caloric Suitability Index
Language:HTML 6mindthegrow / cafelytics
A basic simulation of a coffee operation.
Language:Python 4- African-soil-chemistry-fertility-correlation
opsabarsec / African-soil-chemistry-fertility-correlation
Correlation for African Soil between chemistry and fertility data using Logistic Regression. Treatment of infrared (FTIR) spectra by machine learning.
Language:Jupyter Notebook 4 raw-lab / NFixDB
Comprehensive database for diazotroph nitrogenases, alternative nitrogenases, and nitrogenase-like enzymes at the University of North Carolina at Charlotte (UNCC)
Language:Python 4- Language:R 4
- Language:HTML 3
aadilkhalifa / crop-prediction
A website that allows farmers to input their soil and location details and get a recommendation for the crop to grow and fertilizer to use, using machine learning models.
Language:Jupyter Notebook 2chrispahm / fruchtfolge
MOVED: Development of this project continues at
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Tobi-Ek / GreenFinder-Deep-Learning
Developed an android mobile app (GreenFinder), trained, and evaluated two deep learning image classification models for the use-case. The mobile app classifies scanned fruits, vegetables and flowers, as well as provides knowledgeable information on each classified item.
Language:Jupyter Notebook 2earthdaily / analytic-processor-template
Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.
Language:Python 1H4K3R13 / KrishiSahay
This project is build during HACK4TKM hackathon held at TKM College of Engineering on February 2024
Language:Python 1JuliusFx131 / GeoAI-Estimating-Soil-Parameters-Using-Hyperspectral-Images
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.
Language:Jupyter Notebook 1Kelvin229 / deap_genetic_programming
Using Genetic programming, an Evolutionary Algorithm, to solve and research the problem of Symbolic regression analysis and Rice Classification.
Language:Python 1MaastrichtU-IDS / euraknos-ontology
🌾 OWL Ontology for the EURAKNOS project about EU agricultural resources
- Language:CSS 1
Priyanshu-21 / Crop-Prediction
Predicting the best suitable crop based on various parameters. The model is based on Random Forest Algorithm
Language:Jupyter Notebook 1thorerismann / aquacrop-deficit-irrig
Aquacrop-OSPY implementation to analyze the effects of changing irrigation schedules and irrigation depths on key crop parameters.
Language:Jupyter Notebook 1AyusheGangal / AGrow-ML
Project to predict production quantities for a given dataset using Machine Learning algorithms.
Language:Jupyter Notebook 0jeffryhawchab / AppleDoctor
AppleDoctor is an open-source project designed to help diagnose and provide information about diseases affecting apple trees. Leveraging machine learning and computer vision.
Language:JavaScript 0syedmfuad / agri_grid_data
Harmonize heterogenous spatiotemporal gridded agriculture-related datasets. Part of a larger ongoing project to monitor land and water use by combining irrigation and gridded data via remote sensing data with machine learning.
Language:R 0Processor showcasing how to compare vegetation index before and after an event to determine impacted areas.
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OpenClimateScience / OpenClimateScience.github.io
Project website for our NASA-funded computational climate-science curriculum
Language:HTMLSidhantMathur23 / Krishi-Mitra-Optimal-Crop-Allocation-Model-
An Optimal Crop Allocation Model constructed using Operational Research
Language:Jupyter Notebook
