agricultural
Agri-LLaVA_Agricultural_Pests_And_Diseases_Feature_Alignment_Dataset
Agri-LLaVA
Agri-LLaVA is a large multimodal instruction dataset for agriculture, pairing crop/leaf images with multi-turn diagnostic conversations about plant diseases, pests, and nutrient deficiencies. It is compiled from 16 public source datasets (see the license table below).
This dataset has been converted to Parquet format with image bytes embedded directly, standardized to the HF image_text_to_text format with a single conversational messages schema.
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Agri-LLaVA_Agricultural_Pests_And_Diseases_Feature_Alignment_Dataset.Agricultural-Indicators-For-African-Countries
Agricultural Indicators For African Countries | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: csv - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Agricultural-Indicators-For-African-Countries.Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation
Drone-based Agricultural Dataset for Crop Yield Estimation
This repository contains a comprehensive dataset of cashew, cocoa and coffee images captured by drones, accompanied by meticulously annotated labels. To facilitate object detection, each image is paired with a corresponding text file in YOLO format. The YOLO format file contains annotations, including class labels and bounding box coordinates.
The dataset was collected by teams from Ghana (KaraAgro AI) and Uganda… See the full description on the dataset page: https://huggingface.co/datasets/KaraAgroAI/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation.Agricultural_pests_and_diseases_instruction_tuning_dataAgiBotWorld-Beta_G1_task_385_Pick_up_at_the_agricultural_product_area_of_the_supermarket
agibot_task_385
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 在超市的农产品区取货
total_episodes: 214
total_tasks: 1
size: 18G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_385_Pick_up_at_the_agricultural_product_area_of_the_supermarket.CollegeOfAgricultureAndForestry_Agricultural_Crop_DatasetContext:
This data originally came from the College of Agriculture and Forestry
Originally posted to Kaggle by AGRICULTURAL INNOVATIONS with the following description
"Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present to you a dataset which would allow the users to build a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters."
Includes recommendations… See the full description on the dataset page: https://huggingface.co/datasets/Solshine/CollegeOfAgricultureAndForestry_Agricultural_Crop_Dataset.