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Mixed operations raise questions across crops, game and livestock in the same conversation. This is a preconfigured chat assistant, opened through a shared link, that gives guidance spanning those different kinds of farming.

You know which farming task you want automated but not how to build and hand over a dependable assistant. This is a fixed scope build service that delivers connected assistants along with testing, activity logs and documentation.

You are weighing up new equipment, practices or livestock changes and want to think it through first. This is a preconfigured chat assistant, reached by a shared link, covering sustainable farming, crop management, farm technology and livestock.

Agricultural organisations cannot staff agronomists, salespeople or extension workers on every farmer channel. AGRIVI AI Engage is a hosted, fully managed generative-agent platform for branded advisory, farmer engagement, data collection, sales follow-up and supply-chain communication through WhatsApp, Viber and web chat.

An open agricultural-vision benchmark and evaluation harness that measures diagnosis precision, coverage and confident-error rate when a system can abstain on uncertain crop-disease images.

Plant nursery office staff spend the day hunting for records and retyping product text. These are assistants built into a horticulture business system that find records, suggest products, draft descriptions and take over routine steps.

An enterprise agricultural-intelligence platform and API that connects field, water, machinery, weather, documents and other operating signals to recommendations, priorities, confidence and next actions, with human approval and evidence controls.

Small growers rarely have an agronomist on call for everyday questions. This is a free chat assistant on a company website that answers farm and crop questions for rural producers.

Before putting an image-reading assistant to work in the field, you want evidence it copes with farm scenes. This is a test suite of agricultural pictures and tasks for scoring models that combine vision and language.

Out in the field the question is simply whether to irrigate today, and the answer sits in a farm management system. This is an assistant that reads your own farm records to answer questions like that and pushes alerts when soil stress builds.

Brazilian farm statistics are spread across several government and research portals in different formats. This is an open server that hands a set of those datasets to AI assistants as tools they can call while answering.

Indian farmers with a crop question often have no adviser nearby and no material in their own language. This is a hosted chat assistant built on an adapted language model that searches farming references and replies in several Indian languages.

Growers and advisors in Brazil often have crop questions that do not justify calling in an agronomist. This is a web based chat assistant from a Brazilian farm technology company that you can ask about day to day crop and soil matters.

Cattle records answer most herd questions, if you can face querying them. This is a chat layer over a cattle record system that takes questions about the herd and keeps an eye on things worth acting on.

You are building your own farm app and want agronomic answers without training a model. This is a free, openly licensed service that lets your software call an existing Portuguese language crop advisory assistant directly.

A grower with a crop question in the field wants to ask in the messaging app they already use. This is a paid subscription assistant on WhatsApp that answers agronomic questions for Brazilian producers in Portuguese.

Getting a general assistant to talk sensibly about farming usually means feeding it subject material first. This is a publicly shared body of agricultural knowledge text, packaged for training a model or giving it something to refer to.

You want to know whether a model that reads satellite pictures can also reason about what it sees. This is a downloadable test collection of agricultural remote sensing questions covering location, objects, scenes and simple reasoning.

Advice for strawberries is not advice for citrus, yet most assistants treat every crop alike. These are hosted chat assistants set up separately for berry, citrus, kiwi and orchard growers, along with one aimed at sales conversations. The publisher describes it in the context of Fraisibot, Bairibot, Agrumibot, Kiwibot, Arboribot.

Questions about growing food and looking after land arrive faster than you can research them. This is a preconfigured chat assistant, opened through a shared link, covering farming practice, care for the environment and self sufficient living.

An assistant that talks about soils and crop management needs source material behind it. This is a downloadable body of crop and soil science text, usable for training a model or for searching before it answers.

Advice written for one part of the world often does not fit East African cropping. This is a downloadable language model artefact aimed at East African crop and soil topics, for people building their own farm advice tools.

You want crop and soil answers from a model you host yourself rather than a general chat service. This is a large downloadable language model, tuned on crop and soil material, that writes text answers for teams running their own setup.

Before you pick a language model for crop advice, you want evidence on how it handles farming questions. This is a code repository with a ninety eight question multiple choice test on crop and soil topics, plus a published scoreboard of model results.

A deployable MCP server that gives AI agents weather and growing-degree-unit calculations for any US location, replacing manual county-by-county spreadsheet work.

Teaching or testing a model on crop and soil topics needs example questions with answers, and writing them yourself is slow. This is a downloadable set of paired farming questions and answers you can use for training or for checking a model.

Predicting how a genetic change will play out in a crop still takes years of trials. These are downloadable model weights for a large DNA model trained mainly on the genomes of food plants.

Smallholder farmers and extension teams need advice that fits a specific field, crop and local conditions, including where connectivity is limited. AgroTutor is an obtainable mobile and partner-deployable advisory platform that combines plot records, agronomic recommendations, benchmarking and local-language AI guidance.

You have spotted a real farm problem but have no team to turn it into working software. This is a venture studio that takes problems growers have confirmed and builds early software prototypes around them with you.

You want to try farm reasoning tasks on a model you host yourself rather than a paid service. This is a set of small downloadable models aimed at agricultural questions, sized to run on an ordinary graphics card, with code alongside.

You want a model that shows its working on farm questions, not just a bare answer. This is a downloadable dataset of step by step reasoning about agriculture, built alongside a research model and its testing.

Your software needs the grower's fields and agronomic records, and copying them across by hand is not workable. This is a read only interface that lets an application fetch farms, fields and related crop records from a farm management service.

Before trusting an AI system on a farming or food task you need a way to check it. Extractive question answering over United States agricultural Extension documents, scored with exact match and F1 against expert annotated answers.

People moving into farming need information, training and a plan for their first seasons. This is a Korean public app bundling a farming knowledge chatbot with course suggestions and a step by step plan for new entrants.

Farmers get stuck on machine operation and general growing questions with nobody nearby to ask. This is a chat assistant inside a Korean machinery maker's app, trained on its own manuals and catalogues, taking text, voice, photos and files. The publisher describes it in the context of Daedong Connect app AI assistant.

Starting a literature review on food systems or crops means wading through millions of papers. This is a hosted research assistant that finds relevant studies, pulls out the evidence, summarises it and can also run through a data analysis for you. The publisher describes it in the context of Asta agents / Paper Finder / Scholar QA / AutoDiscovery.

You have opened a chat assistant and are unsure how it helps with your everyday farm work. These are four published Korean guidebooks for farmers and farm managers, covering market research and business planning, produce promotion, farm management information analysis, and work automation with personal chatbots.

Training a field boundary model needs matched pictures and hand drawn outlines, which take ages to prepare. This is an open dataset pairing satellite and aerial imagery with parcel labels across European farmland, ready for model training.

You want software that can take steps on its own inside your farm workflows, not just answer questions. This is a build service where outside developers create such tool using assistants for agricultural organisations.

Anyone choosing between farm advice assistants has no shared yardstick to compare them. This is a downloadable test set of expert written farm questions and answers, with a held out newer set, a public scoreboard and a smallholder focused track.

Picking an assistant for agronomy questions is hard when every vendor claims to be good. This is a set of expert-written farming questions plus a public scoreboard where several judge models rate the answers.

You have built an agronomy assistant and want an outside read on how it answers, not just your own tests. This is a submission process where you request unseen questions, run your model and send back answers for public scoring.

Advice that works for a large farm may be useless to a smallholder, so testing should reflect that. This is a set of smallholder farmer questions and answers gathered from development organisations, used to compare advisory models.

A cotton leaf looks wrong and you want a second opinion before calling someone out to the field. This is a code project with a small web app that reads leaf photos, suggests the likely disease and lists treatment options.

Deciding where AI actually fits in a farming business is hard without someone who has done it before. This is a consulting and implementation service covering agricultural AI projects from advice through to building the systems.

Farm managers often dig through several systems to answer a simple question or notice a problem. This is a build service that produces a chat helper sitting on your data, doing routine steps and raising alerts.

Your product team wants an in-app assistant that understands farming work rather than a generic chat box. This is a development engagement that builds embedded helpers able to act inside agricultural and farm technology software.

A livestock-focused AI, analytics and operational decision-support service for cattle and dairy operations. It advises on practical AI, data, genomics and ranch technology, and offers tailored AI applications including custom chatbots and workflow automation.

Herd, milk, breeding and money records pile up in a dairy or buffalo operation and rarely get looked at together. This is a web assistant you ask questions in plain words, and it points out risks and suggests next steps from those records.

South African farmers with a crop, animal, market or farm law question have to know which book to open. This is a free mobile assistant that answers those questions from a large collection of local agricultural material.

Trying a video training recipe stalls if you have no matching example data. This is a downloadable sample dataset of cotton field clips with paired depth channels and written captions, laid out in the format that recipe expects.

Getting product listings right for every retailer and country is repetitive work, and nutrition and allergen fields make it fussier. This is a set of assistants inside a product content platform that draft, sort, translate and tag product information.

Most AI consultants hand you a roadmap. This is a team of food and ag operators who do the work: choosing tools, training your people, building custom assistants and evaluations, then handing it all over so it keeps running after 9 North leaves. Start with a free AI readiness assessment.

Writing and keeping up a food safety hazard plan raises constant procedural questions. This is a preconfigured chat assistant, opened through a shared link, focused on food safety hazard control systems in food businesses.

Researchers and teachers get asked how automation and machine learning actually apply to farming and food supply. This is a preconfigured chat assistant, opened through a shared link, for talking those questions through.

Plant research answers sit buried in papers and internal reports that nobody has time to read end to end. This is a hosted research assistant that searches public and in house documents, links related findings and shows where each answer came from. The publisher describes it in the context of incl. AILANI for Agriculture.

Livestock paperwork and record keeping eat time that a short-staffed farm does not have. This is a chat feature inside a herd management web app that answers questions about your animals, flags things worth checking and writes reports in everyday language.

Before trusting an AI system on a farming or food task you need a way to check it. Evaluates AI system performance and formally verifies safety requirements and EU AI Act compliance, focusing on robotic and drone control systems.

You need something working in front of users quickly to see whether a farming idea has legs. This is a studio service that builds a first cut product using text generating AI, made to order for farming and food clients.

Farmers and ranchers who want to use chat assistants for paperwork and financial decisions often do not know where to begin. It is a live group course covering prompting, custom assistants and feeding in your own farm context.

Greenhouse growers juggle watering and feeding decisions many times a week. This is a small downloadable add on for an existing language model that produces written advice on irrigation and nutrient dosing for greenhouse and soil free growing.

A small food business needs a steady stream of posts and marketing copy without hiring an agency. This is a paid pack of prompts that get a chat assistant drafting that marketing and social content for you.

Writing listing copy for every flavour and pack size is repetitive work that still has to get done. This is a set of prompt templates that turn product details into food product descriptions using a chat assistant.

Selling grain usually means phone calls and back and forth over price before anything is agreed. This is a chat assistant on WhatsApp that handles grain trade conversations inside a Brazilian online grain marketplace. The publisher describes it in the context of grain-trading WhatsApp assistant.

An assistant with access to farm systems could be tricked into leaking data or acting on bad instructions. This is a testing service where specialists attack your agricultural assistants on purpose and report what they got through.

Growers asking the same crop management questions can tie up a support desk. This is a chat assistant product you can put on your own site, and its published example is answering crop management questions for farmers.

You want a chat model that already knows the vocabulary of regenerative and climate friendly farming. These are downloadable weights, made by further training an open general model on agricultural material, for you to run and build on.

Logging what you ate and tallying it up is the part most people give up on. This is a plug-in interface for AI assistants that records meals, keeps running nutrient totals and lets you look back over your history by chatting.

Choosing between machines and settings for a job is guesswork without a way to compare them side by side. This is a feature inside a farm operations platform that uses a chat model to compare machines and answer questions.

Past recommendations and field records pile up in a farm platform and become hard to find again. This is a chat and search layer inside that platform that brings relevant earlier recommendations back to advisors when they ask.

Food developers and researchers looking for almond research often end up scrolling a whole website. This is an assistant on an almond industry site that answers research, product development and nutrition questions from the material published there. The publisher describes it in the context of Almond Board Virtual Lab.

Breeding programmes take years, so testing a design on paper first can save whole seasons. This is an add-on package for the R statistics language that simulates plant and animal breeding down to individual genetic markers.

Biological inputs, crop choices and feedstock bets depend on conditions that change by place, season and market. This is Aluvial’s hosted decision engine, which combines biophysical models, maps and company data to test scenarios, deliver outputs to other software and give AI assistants governed access.

Farm bookkeeping questions like what did we spend on fuel mean digging through the ledger yourself. This is a plug-in interface that lets an AI assistant read and reconcile a farm accounting ledger through conversation.

Retailer listings need product copy and attributes that pass their checks, including grocery specific ones. This is a chat assistant and service inside a product content platform that writes listing content and checks it before it goes out.

Ranch decisions rest on cattle prices, the weather, calving records, hay on hand and which paddock is next. This is a hosted assistant that keeps those threads in one place and answers questions and helps plan around them.

Checking whether your cattle spotting model actually works needs labelled pictures you did not train on. This is a downloadable test collection of aerial photos with cattle positions marked by hand.

Before trusting an AI system on a farming or food task you need a way to check it. Provides FAIR annotated image datasets and returns performance metrics for customer algorithms submitted in ONNX format.

Policy work on farm antibiotic use stalls when the numbers sit in scattered reports. This is a downloadable table of antibiotic use in livestock by African country, shaped for loading into models and analysis code.

Tracking how much antibiotic goes into animal farming across Asia usually means chasing separate country sources. This is a downloadable country level table of livestock antibiotic use, ready to read straight into a script.

Comparing antibiotic use in animal farming between European countries takes tidy figures in one file. This is a downloadable table of livestock antibiotic use by country, packaged for direct use in code.

Chemistry test sets are mostly drug molecules, so models trained on them have little to say about farm chemicals and bees. This is a downloadable dataset and test set of pesticide toxicity to honey bees, with set splits for fair comparison.

You want to know whether a chemistry model carries over from medicines to farm chemicals before you rely on it. This is downloadable evaluation code that runs several molecule modelling approaches over a bee toxicity dataset and reports how each scored.

Farmers who work in Spanish or Portuguese are often left translating advice written for someone else. This is a mobile phone assistant, downloaded from the app store, that answers farming questions in those two languages.

An MCP server that lets a language-model client create and run scenarios in the APSIM Next Generation farming-systems simulator using plain-language instructions.

You want to see how a crop might respond to different soils, weather or management before committing a field. This is a modular farming systems simulator you can set up for those scenarios and run yourself.

You want AI agents working across your food business systems but have nobody free to build and maintain them. This is an ongoing paid service where a vendor team designs, builds and keeps adjusting agents on your data.

Pond and tank operators need answers on site, often with poor connectivity and sensor readings to consider. These are downloadable model weights for a small language model aimed at fish and shrimp farming tasks that can run on modest hardware.

Fish farm decisions span hatchery, feeding, water quality, health and the business side, and specialists are thin on the ground. These are downloadable model weights for a mid sized language model aimed at aquaculture and fisheries advice, with support available.

A fish or shrimp farmer noticing odd behaviour or cloudy water usually has nobody nearby to ask. This is a free web assistant you can talk or type to in several languages about feeding, growth, water conditions and possible disease.

Working out how much water a crop needs, and what happens if it gets less, normally means installing modelling software. This is a hosted web connection point that runs a crop and water simulation and returns the results.

Working out how water supply limits a crop across a season usually means desktop software. This is a Python crop water model that implements most of FAO AquaCrop 7.1, installed as a pip package and scripted from your own code.

Pond checks, feeding and aeration decisions eat the day and often get written down inconsistently. This is a copy and paste prompt that walks a chat assistant through gathering sensor and weather readings, doing pond maths, and drafting feeding and aeration steps.

Before trusting an AI system on a farming or food task you need a way to check it. Benchmarks segmentation of main and lateral plant roots in infrared video using Dice, Hausdorff and skeleton-based metrics.

You want field level weather and crop readings inside your own software without installing sensors and building pipelines yourself. This is a paid programming interface that streams dozens of in-field microclimate and crop measurements for you to pull into an app.

Traders and analysts want to ask an assistant about market prices instead of hunting through reports. This is commercial access to price assessments, news and commentary, delivered both as a plug-in interface for AI assistants and as web programming interfaces.

Before trusting an AI system on a farming or food task you need a way to check it. Tests whether an autonomous agricultural robot detects a reference obstacle and stops, using the protocol in ISO 18497:2024 Part 4 Annex D.2.

Finding one answer inside a professional body's programmes, events and publications means hunting across a big website. This is a question and answer assistant over ASABE's own material, offered in three tiers, a public one anyone can open, a member one, and a premium tier for deeper technical resources.

A market question often needs price series, a report and a forecast read together before you can answer it. This is an assistant inside a price reporting platform that pulls those together and points back to the prices and reports it used.

Running a flower shop throws up business questions you would otherwise take to a consultant. This is a hosted chat assistant for association members that answers from that body's own publications, industry news and course material.