Synthesizing and visualizing the impact of conservation agriculture
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Updated
Feb 1, 2023 - R
Synthesizing and visualizing the impact of conservation agriculture
A comprehensive solution to assist farmers and customers to get maximum benefits. This app can detect various plant diseases using image processing and suggest accordingly.This is a blockchain powered solution to help ensure that farmers get a fair price for their crops and customers get value for money
This data package provides a spatially and temporally broad, multivariate dataset that quantifies trade-offs and co-benefits of tillage management in North American row-crop systems. Treatment-level means are provided for multiple ecosystem services, including crop yield, soil organic carbon (SOC) stocks, and N2O emissions, with detailed metadata.
Crop, fertilizer, and disease recommendations website based on machine learning models that are trained using very large datasets taken from kaggle
Beginner-friendly Jupyter notebooks for farmers, ranchers & agronomists — soil health, livestock genetics (NSIP/Katahdin), grant writing, grazing management, and ecological monitoring with hands-on Python examples
Reusable 4-tier soil microbiome screening pipeline — metagenomics, metabolic modeling, and community ecology for nitrogen fixation, carbon sequestration, bioremediation, and more
BodenKraft Document Standard — ISO-9000-style framework for soil-health, MRV and agri-software documentation. Issued by Ground UP GmbH.
Farm Guide App A mobile application designed to help farmers and agricultural professionals manage their farms and make informed decisions about crop management, soil health, and pest control. Features - Crop management: track crop progress, receive expert advice on best practices - Soil health: track soil health
Satellite-powered crop health monitoring for farmers via Telegram
An AI-driven WordPress tool that analyzes soil health data, estimates financial returns from better farming practices, and generates PDF/CSV ROI reports. Built with modular architecture, clean UI patterns, and integrated documentation injection for seamless future updates.
A lightweight, modular, and pattern-based WordPress plugin that recommends the best cover crops based on soil type, region, and rotation crop. Calculates a 3-year ROI projection, displays benefit charts, and exports results to CSV/PDF. Built with vanilla PHP, HTML, and JavaScript — ready for AI and API integration.
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🌾 Demonstrate farm data integration using NSIP standards for managing and sharing sustainable agricultural records efficiently.
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