Official Repository for CWD30 Dataset
-
Updated
Jun 9, 2025 - Python
Official Repository for CWD30 Dataset
Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques
Overall app for farmers
applications designed to assist farmers or people involved in agriculture. Agricultural technology, often referred to as AgTech, has been a growing field, with various projects aiming to improve efficiency, sustainability, and productivity in farming.
A Multi Layer Perceptron Model to predict export values of crop for next 3 years.
Eco-Fertilization, a user-friendly system, has been implemented in the form of a website to provide cross-platform functionality and suggest appropriate timings and amount of nutrients required for an inputted crop with a heavy rainfall alert system .
A comprehensive guide to Sri Lankan crops, detailing planting conditions, cultivation techniques, and complete agricultural care processes for local varieties.
Award-winning weather-aware agronomic expert system and AI price engine for Kottayam, Kerala, combining predictive pricing, real-time risk analysis, simulated federated learning, and voice-based IVR for farmers.
App Dev & Amazon Sagemaker ML model deployment - Alternate Crop Recommender according to Kharif/Rabi season
Satellite image segmentation pipeline using SAM2 and Brazil Data Cube for automated agricultural plot analysis.
Add a description, image, and links to the crops-dataset topic page so that developers can more easily learn about it.
To associate your repository with the crops-dataset topic, visit your repo's landing page and select "manage topics."