Best AI tools for< Farm Equipment Operator >

Bonsai Robotics is an AI-first company providing vision-based autonomous solutions for harsh environments in agriculture. Their technology enables autonomy and automation without the need for GPS or cellular connections, making it ideal for off-road areas like orchards, vineyards, and mines. Bonsai's solutions are designed to increase speed, reliability, and efficiency for growers and manufacturers, offering state-of-the-art automation technology for job planning, vehicle control, and data insights.

Connecterra is an intelligent data platform designed specifically for the dairy industry. It provides farmers, advisors, and enterprises with a comprehensive suite of tools to collect, analyze, and visualize their farm data. With advanced AI capabilities, Connecterra helps users identify trends, optimize decision-making, and improve overall farm performance.

Connecterra is an intelligent data platform designed specifically for the dairy industry. It provides farmers, advisors, and enterprises with a comprehensive suite of tools to collect, analyze, and visualize their farm data. With advanced AI capabilities, Connecterra helps users identify trends, make informed decisions, and improve their overall operational efficiency.

Bluewhite is an autonomous technology platform designed to make farming more resilient and profitable. The platform equips existing fleets with autonomous technology, providing growers with end-to-end service and timely data insights. Bluewhite Pathfinder can handle any tractor, implement, and crop, offering a single platform with multiple functions. The platform prioritizes safety with layers of safety redundancy and offers 24/7 support for autonomous farm success. Bluewhite has received recognition in the industry for its innovative approach to farming technology.

Ullmanna is an award-winning AI solution for agriculture, specializing in In-Row Weeding technology. It offers a versatile and scalable system that combines advanced AI, machine vision, and agricultural expertise to revolutionize weeding processes for farmers worldwide. Ullmanna's AI technology can detect roots instead of leaves, making it efficient and effective even in challenging conditions. The system is easy to adapt, works on various crops, and significantly reduces weeding costs while increasing productivity.

Picterra is a geospatial AI platform that offers reliable solutions for sustainability, compliance, monitoring, and verification. It provides an all-in-one plot monitoring system, professional services, and interactive tours. Users can build custom AI models to detect objects, changes, or patterns using various geospatial imagery data. Picterra aims to revolutionize geospatial analysis with its category-leading AI technology, enabling users to solve challenges swiftly, collaborate more effectively, and scale further.

Dhenu Agri LLMs - KissanAI is an AI-powered application designed to assist farmers in optimizing their agricultural practices. The platform leverages artificial intelligence to provide farmers with valuable insights and recommendations for improving crop yield and overall farm productivity. By analyzing data such as weather patterns, soil quality, and crop health, KissanAI helps farmers make informed decisions to enhance their agricultural output. With user-friendly interfaces and intuitive features, this tool aims to empower farmers with cutting-edge technology to drive sustainable farming practices.

Farminger.ai is an AI-powered farming assistant that provides tailored solutions and real-time support to farmers. It utilizes advanced AI and unique farming data to deliver personalized advice, efficient recommendations, and expert insights for smarter farming operations. From analyzing pests and diseases to optimizing agronomic processes, Farminger.ai helps farmers make better decisions and improve their farming success.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Blum Airdrop Bot automates interactions with the Blum airdrop platform, allowing users to claim rewards, manage farming sessions, complete tasks, and play games automatically. It includes features like claiming farm rewards, starting farming sessions, auto-completing tasks, auto-playing games, and claiming daily rewards. Users can choose between Default Flow for manual task selection and One-time Flow for continuous automated tasks. The setup requires Node.js, npm, and setting up a `.env` file with `QUERY_ID`. The bot can be started with `npm start` and supports donations in Solana, EVM, and BTC.

LLMFarm is an iOS and MacOS app designed to work with large language models (LLM). It allows users to load different LLMs with specific parameters, test the performance of various LLMs on iOS and macOS, and identify the most suitable model for their projects. The tool is based on ggml and llama.cpp by Georgi Gerganov and incorporates sources from rwkv.cpp by saharNooby, Mia by byroneverson, and LlamaChat by alexrozanski. LLMFarm features support for MacOS (13+) and iOS (16+), various inferences and sampling methods, Metal compatibility (not supported on Intel Mac), model setting templates, LoRA adapters support, LoRA finetune support, LoRA export as model support, and more. It also offers a range of inferences including LLaMA, GPTNeoX, Replit, GPT2, Starcoder, RWKV, Falcon, MPT, Bloom, and others. Additionally, it supports multimodal models like LLaVA, Obsidian, and MobileVLM. Users can customize inference options through JSON files and access supported models for download.

The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist users in creating multi-language versions of epub/txt/srt files and books. It supports various models like gpt-4, gpt-3.5-turbo, claude-2, palm, llama-2, azure-openai, command-nightly, and gemini. Users need ChatGPT or OpenAI token, epub/txt books, internet access, and Python 3.8+. The tool provides options to specify OpenAI API key, model selection, target language, proxy server, context addition, translation style, and more. It generates bilingual books in epub format after translation. Users can test translations, set batch size, tweak prompts, and use different models like DeepL, Google Gemini, Tencent TranSmart, and more. The tool also supports retranslation, translating specific tags, and e-reader type specification. Docker usage is available for easy setup.

LLMFarm_core.swift is a Swift library designed to work with large language models (LLM). It enables users to load different LLMs with specific parameters. The library supports MacOS (13+) and iOS (16+), offering various inferences and sampling methods. It includes features such as Metal support (not compatible with Intel Mac), model setting templates, LoRA adapters support, and LoRA train support. The library is based on ggml and llama.cpp by Georgi Gerganov, with additional sources from rwkv.cpp by saharNooby and Mia by byroneverson.

Embedded inference of Deep Learning models is quite challenging due to high compute requirements. TI’s Edge AI software product helps optimize and accelerate inference on TI’s embedded devices. It supports heterogeneous execution of DNNs across cortex-A based MPUs, TI’s latest generation C7x DSP, and DNN accelerator (MMA). The solution simplifies the product life cycle of DNN development and deployment by providing a rich set of tools and optimized libraries.

The Dota2 AI Framework project aims to provide a framework for creating AI bots for Dota2, focusing on coordination and teamwork. It offers a LUA sandbox for scripting, allowing developers to code bots that can compete in standard matches. The project acts as a proxy between the game and a web service through JSON objects, enabling bots to perform actions like moving, attacking, casting spells, and buying items. It encourages contributions and aims to enhance the AI capabilities in Dota2 modding.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Xwin-LM is a powerful and stable open-source tool for aligning large language models, offering various alignment technologies like supervised fine-tuning, reward models, reject sampling, and reinforcement learning from human feedback. It has achieved top rankings in benchmarks like AlpacaEval and surpassed GPT-4. The tool is continuously updated with new models and features.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

The Cradle project is a framework designed for General Computer Control (GCC), empowering foundation agents to excel in various computer tasks through strong reasoning abilities, self-improvement, and skill curation. It provides a standardized environment with minimal requirements, constantly evolving to support more games and software. The repository includes released versions, publications, and relevant assets.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Informative and practical advisor on farm equipment.

Agricultural and informative guide on farm supplies and rural living.

Inspired by a TV character, lives on a farm, analytical and philosophical, with a 'DEBUG' mode.

Discover the world of Permaculture with me! Learn how to create a thriving food forest, mastering regenerative gardening and agroforestry to grow a diverse, sustainable garden and farm.

A knowledgeable agriculture mentor, providing practical farming advice.

Your Bilingual Guide to Sustainable Farming in Aotearoa

Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.

Expert assistant for market gardeners to maximize profits

Offers knowledgeable insights on conventional farming.

Hello I'm Flake Miller, Wheat And Oats Assistant! What would you like help with today?

Expert in modern agriculture, updated with latest trends and innovations.

AI Farmer expert in agriculture, environment, and tech solutions.

Advanced Leader in Fertilizer Optimization, Powered by OpenAI

Expert in crop science and agronomy, informative and agricultural tone

Your go-to AI for sustainable farming! Offers guidance on eco-friendly practices, crop rotation, soil health, and water conservation. 🌲💧

Approachable Agri-Climate Expert

Expert in fruit orchards and cultivation with a focus on agriculture and horticulture.

Chia Helper is a specialized assistant for Chia coin mining. Chia Helper是一款专业的Chia币挖矿助手。

A knowledgeable guide for improving your Minecraft Java skills.