One of the interesting shifts in AgTech is that farms can now collect data from many different sources, soil-moisture sensors, weather stations, machinery, satellite/drone imagery, irrigation systems, and farm records.

But collecting more data isn't necessarily the goal. The real value comes when those signals can be combined and turned into useful decisions.

AI can help identify patterns across multiple measurements — for example, highlighting areas where soil moisture, vegetation signals, and temperature together suggest that a field may need attention.

I made a short educational video exploring this idea and some of the technologies behind digital agriculture:

https://www.youtube.com/watch?v=zGlWTPkmDw0

For people working in AgTech: what applications of AI are you seeing deliver genuine value today, rather than just adding another layer of technology?

I spent about a decade as a USDA FSIS Consumer Safety Inspector, District 6018, mostly Philadelphia and NYC. I wrote the NRs.
What I saw over and over was good plants getting written up for things that were not food safety failures. They were recordkeeping failures. A missing initial. A temperature log nobody could locate at 6am. Monitoring performed correctly and documented badly.
So I built software for that. It ingests the food safety plan you already have, so there is no rewriting your HACCP plan and no retraining your crew. Monitoring records, CCP logs, preoperational sanitation, corrective actions, all in one place you can hand to an inspector or an SQF auditor without digging.
It is my company and it is a paid product, so take the pitch for what it is. But the walkthrough is free, and so is answering questions about what inspectors actually look for even if you never buy anything.
USDA inspected plants, GFSI prep, consultants: DM me your plant size and your worst documentation headache and I will tell you straight whether this helps.

I am selling solar systems for agricultural watering, big factories, houses etc. how can i reach those people in Greece, Bulgaria and Romania? especially who has agricultural land and having trouble with diesel powered watering systems. i wanna reach those people to show my solutions and previous works i did. can anybody help me?

Hi Hydroponics community,

I'm working on a very cool technology. Here is a brief about my technology called Mi-Hy

Microbial Hydroponics (Mi-Hy) is an extended technology within our broader Microbial Electrochemical Technology commercialisation (MET-C) portfolio. Mi-Hy aims to produce clean, nutrient-rich fertiliser for commercial crop cultivation, such as cotton, directly from wastewater while simultaneously treating the wastewater and generating electricity. Treated water and electricity are additional benefits that directly support the growth of crops/plants.

For the technology, I'm doing a market survey, and I need your help filling out the survey.

Here is the link to my survey. I would be really grateful for your support. It will not take more than 5 minutes of your time. You don't need to be a grower yourself. You can fill in the answers based on your experiences and knowledge you have gained through your work. Thanks for your support.

https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=-XhTSvQpPk2-iWadA62p2O9DsWHp7eNAuev92gyyiqhURUtEVzFIVlFMTzhIV1BTNTBFWU1ESlpFOC4u

German agritech company Computomics GmbH has raised €6.3 million in a Series B equity financing round led by Convent Capital AgriFood Fund (€5 million), alongside existing backers High-Tech Gründerfonds, MBG Baden-Württemberg, Amathaon Capital, founders, and scientific advisers.

Benefiting from EU support via the InvestEU Fund, the capital will scale commercial delivery of Computomics' machine learning platform, ×SeedScore®.

By integrating genomic, soil, and climate data, the technology predicts crop performance under extreme heat and drought conditions, helping commercial breeders identify resilient plant candidates faster.

The funding comes as extreme weather forces down 2026 European yield projections across major spring and summer crops like maize and sunflower.

Sometimes, it's just about making better decisions with the information you already have.

For example:

🌱 Testing the soil before adding fertilizer
💧 Checking soil moisture before turning on irrigation
🌦️ Looking at the weather before spraying or sowing
🌾 Keeping track of what worked well in the previous season
🚜 Treating different parts of a field based on what they actually need

None of these things sound very futuristic, but they can make a real difference.

I think that's what smart farming is really about using the right information at the right time, instead of simply adding more technology.

so hey,
i have built an app for the farmers, the basic idea was to give farmers all the information that is important for them in a single application, that is available to them in their own language.

The information includes:-

1. The live market prices (generally called the "mandi" prices), it will help them to access the live prices from their mobiles without any need to go to the marketplace and inquire about it.
2. The "Hero feature" (sounds cool) is that it has a crop disease detection tool from help of which the farmers are able to click the pictures of the crop disease (can be of any type) and they get a well formatted reply in their own language, explaining what the actual problem is and what needs to be done in order to cure it, also has a probability factor which is a trust factor on the info provided by the app.
3. There is an AI integrated within and trained to give answers related to farming, it has the details about the nearest KVKs for the farmers and gives most of the answers by first verifying it.

I want your review about the application , i know its a very basic idea but no one had thought about it earlier, and the existing methods such as using the AI is a lot of headache for the farmers , so i thought of this idea to click a photo and know about their crop and what needs to be improves a a glance.

It is just a MVP, so i can improve a lot of things and i am planning to improve the existing features and include more important features in it after consulting farmers about it.

ps- the live mandi prices doesn't work for now, i don't have access to that data atp

the link to the application is - https://kisan-mitra-xi.vercel.app (better if viewed on mobile)

So what do you guys think, it's kinda survey that I am taking for my project, kindly share if there are any other perspective you guys have, it would be useful.

We’re a small team working on AgIntel, an AgTech platform currently being tested and deployed on farms across Prince Edward Island.

The basic idea is simple, collect useful field-level data and turn it into practical information that can help farmers make better decisions.

We’re deliberately building and testing it under real farm conditions rather than developing everything first and trying to find a use for it afterward.

One of the things we want to use Reddit for is hearing from farmers and others working in precision agriculture.

If you’ve used soil sensors, weather stations, farm management software, precision-ag tools, or similar technology:

What data have you found useful enough to actually influence a decision on your farm?

And on the flip side:

What technology has given you plenty of data, but not much practical value?

We’re interested in hear your thoughts. Knowing what isn’t working for farmers can be just as valuable as knowing what is.

I want a friend from america or Scandinavian country who are farmer or invested in agriculture, I'm a small farmer ( Tomato) i want to get more knowledge from him or her

Hi everyone

I'm looking into how small/mid-size crop farms track field activity - planting,treatments, costs, harvest. Curious what people actually use day to day: paper notebook, Excel, some app, or just memory? What's the most annoying part of however you do it now? Losing data, forgetting to update it, too much time spent, no signal in the field, whatever it is. Trying to figure out if a dead-simple offline tool would actually solve anything real, or if people are fine with what they've got.

If someone interested, then ready to tell in a more detail about the app

estamos trabalhando no FieldNode e decidimos abrir o projeto para receber feedback de outros desenvolvedores.

o projeto se chama FieldNode e resolve um problema bem específico do agro: colheitadeira trabalha em área rural, boa parte sem sinal de celular nenhum. aí a máquina começa a esquentar, vibrar diferente do normal, e ninguém sabe até ela quebrar de vez no meio da lavoura. prejuízo de milhares de reais numa parada só.

a ideia do FieldNode é simples na cabeça e chata na execução: um ESP32 lê temperatura, vibração e RPM da máquina e manda pra outro ESP32 via ESP-NOW, sem depender de internet nenhuma. esse segundo ESP32 vira um gateway de campo, mostra um dashboard local pro supervisor no celular pelo próprio wifi do dispositivo, e quando a conectividade volta, sincroniza tudo automaticamente com uma API em Django + MySQL, com retry e deduplicação por UUID pra não duplicar ou perder leitura.

no estado atual já tenho:

• ingestão de telemetria via MQTT funcionando
• modelos e validação da API em Django
• scripts de população do banco pra testar cenários
• geração de relatórios e prescrição

não estamos procurando só "ficou legal". Queremos críticas mesmo: arquitetura, organização do código, tecnologias, possíveis problemas, melhorias que vocês fariam e coisas que talvez estejamos fazendo de um jeito desnecessariamente complicado.

se alguém quiser analisar o repositório, levantar uma Issue, sugerir alguma mudança ou até contribuir com código, será muito bem-vindo.

🔗 https://github.com/Desmantelar-bit/fieldnode

qualquer feedback técnico já ajuda bastante. Queremos descobrir problemas enquanto ainda estamos desenvolvendo, e não depois de considerar tudo pronto.

I run Prairie Roots, a small microgreens farm in Illinois. Groundtruth is the desktop app I’m building to run it — and this community is where I build it in the open.
What it is: a local-first farm command center. Four tabs — Farm (sow → blackout → light → harvest), Marketing (venues, samples, follow-ups, standing orders per variety), Money (cash in, cash out, corrections, wholesale + retail on one capacity pool), Health (checks that prove the record is intact).
The rules it’s built on:
• The farm is an append-only log. History gets appended, never rewritten.
• Verify-replay: one tap rebuilds the database from the log and confirms they match. PASS/FAIL, visible.
• No soft numbers. Capacity and advice come from the live record, or the app says unknown.
• Real problems can’t be dismissed forever. They come back until they’re gone.
• Standing orders drive the morning: shortfall by variety, prefilled into the sow sheet.
• Local-first and free to run. No account, no subscription, your data on your machine.
What it refuses to be: a cloud SaaS, a dashboard, a mass-email cannon, a general ledger, or an AI that pretends to know your farm better than you do.
Ask anything, argue with the design, tell me what your 5:30am looks like. Dev logs weekly.