r/AgriTech

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.

Saskatchewan-built AG360 aims to put the whole farm in one (digital) place  - SwiftCurrentOnline.com - Local news, Weather, Sports, Free Classifieds and Job Listings

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.

View Poll

I've been thinking about how this economy makes zero sense to me and to many analyst.

We have been saying that this AI bubble is going to pop any minute now and how we are under the most bizarre economy that we've seen in the past century. Debt is at an all time high, inflation isn't going down, entire countries stock markets keep experiencing major downturns, yet there is no crash. Governments keep chugging along as if nothing is happening.

The only way this makes sense, is if there won't be an economy left to maintain in the next few years. So now I've been thinking about what Amy Eskridge mentioned (in 2020) about how there would be a calamity in the next decade and that only 10% of humans would survive, the P-47s and P-52s, which means present humans plus 47,000 years and present humans plus 52,000 years. These two groups of evolved humans have, according to her, developed time traveling technology to come and get DNA from us before the calamity happens. The only thing that will come close to annihilating us in 2030, as Amy suggested, is Apophis.

Apophis has a megaton yield of about 850-1200, which is the orders of magnitude more powerful than the bombs the US dropped on Japan and 20 times more powerful than the Tsar bomba. But, okay, scientist keep saying that there is no fear, that it won't even impact Earth, just pass us by about 20,000 miles. Closer to us that some satellites orbit... But what if all of this is just a misdirection or misinformation? What if the reality is that there is a greater chance for it impacting us? I realize the impact would not be the same as the one that wiped the dinosaurs, but right now all the world economies are too interlinked, resources are getting scarce and an impact of this magnitude would certainly cause drastic ecological and climate changes. What bothers me is that we had this giant space race, tons of innovation and experiments to study asteroids, then all of a sudden, budget cuts across the board. Almost as if we gave up on trying. We were also trying to fix the climate and now we seem to not GAF if the icebergs melt and cause oceans to rise and destroy coastal cities (in the long term).

We have also seen now that governments will push disinformation in mass. They say one thing to the public and behind close doors do the complete opposite. They also have a lot of control over what gets published. Amy Eskridge wanted to have a full disclosure on this and alert the public of this upcoming apocalypse and she was killed. She wasn't some crazy QAnon either, she worked for freaking NASA! For all we know, the data NASA and other space agencies are publishing about Apophis could be poisoned/skewed to look like it won't impact. Other whistle blowers that have tried coming out have also been silenced or disappeared. The disclosure we are getting now feels more like a distraction than actual disclosure and it feels like it is masking the true disclosure.

During the COVID lockdowns, there was also this big push by billionaires to build doomsday bunkers. Those same billionaires are the same ones dragging this economy into insanity. Now I am thinking about this AI bubble that we are in and how it doesn't make any sense as to why they are pushing this so much, regardless of demand and short term benefits. What if AI is one of the tools that they believe will assist them in the post apocalypse hellscape? What if we are in an arms race to build AI so that the future survivors have an upper hand/edge on other surviving groups. With AI, you wouldn't need to try to save many other humans, just the important ones and with AI you can reduce this cost even more. Your AI will be able to teach you physics, engineering, medicine, agriculture, programming, and anything else. This would make it so you would need less resources, in terms of food, water, air, etc to survive.

The only way this economy makes sense is if there won't be a habitable planet in 2030. What are your thoughts? Maybe I should lay off Reddit for a while, this rabbit-hole is stressing TF out of me.

I have built a dedicated app for small scale aquaculture like farmers with <5 ponds, it acts as a farm log and then uese farmer fed data for better decisions.

My question is does any farmer in any country need it? I am building in India and literally have no response here.

fala pessoal,

sou estudante técnico e tô no meio do TCC, então vim aqui pedir uma força.

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

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

o que eu queria de vocês:

1. code review — principalmente na estrutura da API e nos modelos, se tem coisa que já cheira mal pra quem tem mais estrada
2. arquitetura — o fluxo MQTT até o backend faz sentido? tem gargalo ou brecha de segurança que eu não tô vendo?
3. colaboração — issue apontando problema, PR com melhoria, crítica direta, tudo é bem-vindo. o projeto é open source

o README tem o passo a passo pra rodar local. valeu quem parar pra dar uma olhada 🙏

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

We built space stations, quantum computers, and advanced AI, but the base fuel of human civilization—corn—is basically just a plant Mesoamerican farmers bred by trial and error 9,000 years ago.
They just wanted raw calories, so they picked for pure starch. In the process, they stripped out the plant's deep roots, natural pest defense, and essential proteins. Now we spend billions on synthetic fertilizer and pesticides every year just to keep this genetically fragile crop alive.
We’re essentially using 21st-century industrial tech to prop up a stone-age bio-hack.
Now that we have AI genomic modeling and CRISPR, why are we still patching up this ancient, broken baseline instead of just re-domesticating wild teosinte from scratch? A perennial, low-fertilizer, high-protein version seems entirely doable now.
Is the bottleneck here just massive agricultural inertia, or is there a biological reason we’re stuck with ancient crop designs?

How would you design a marketplace where the seller may have intermittent internet, the buyer needs reliable inventory information, and the product itself is perishable?

Farmers often have useful data spread across lab PDFs, weather sites, field maps, and notes, but still have to piece everything together before deciding what to do next.

I built ZarSage to bring that information into one desktop workspace. A grower can map a field, upload a soil lab report, pull weather data for the exact location, and use it to assess fertilizer needs, spray windows, frost and heat risk, water balance, and field tasks.

The AI is there to help interpret the data, not replace an agronomist. It works from the farmer’s own field information and shows the reasoning and sources behind its recommendations.

The Windows version is now available on the Microsoft Store and is free to start. I’m the builder, and I’d genuinely appreciate feedback from farmers, agronomists, and others working on agricultural decision-support tools.

I'm a 3rd-year Computer Science student reaching out to gather real-world problem statements within the agricultural sector.

We are looking for specific challenges local farmers face that can be addressed using AI/ML solutions (specifically predictive modeling, classification, or computer vision, rather than Generative AI).

If you work in agriculture or have insights into farming operations, please drop your thoughts in the comments. Your input will help guide student participants in Hack4AProgress 2026 toward building practical, data-driven solutions.

Thanks in advance for sharing your knowledge!

I’ve been thinking about what a genuinely useful AI assistant for farmers would look like.

Not another generic chatbot, but something that could combine things like:
• Weather data
• Crop conditions
• Historical farm information
• Local agricultural knowledge
• Market information
• Carbon/emissions data
• Government schemes

The interesting part isn’t the LLM itself. It’s getting the right data together and turning it into something that can actually help a farmer make a decision.
I’ve been experimenting with a small prototype around this idea using AI/RAG.

Curious to hear from people working in agritech, climate tech, AI or agriculture:
What would you want an AI farming assistant to actually do?

Rjukan was built around water, electricity and industry. In this video, I explore how Norsk Hydro transformed the remote valley into an industrial powerhouse, how fertilizer production led to the creation of heavy water.

Is there anyone who can explain widely about this course.

I am going into the college.

I wanted to know that , Is there much load of study?

Those who know about this please share your experiences!!!

Hello everyone,

I'm a 4th year Computer Engineering student with hands-on experience in embedded systems and sensor integration. I've built an Arduino-based system for low-cost soil moisture and water quality monitoring for a research lab, and I'm currently working on an autonomous rover project focused on environmental sensing. I also am a research assistant in a soil science lab, so I've got some exposure to both the engineering and the agricultural/environmental science side of things.

I'm really interested in AgTech, especially precision ag, sensor networks, and ag-robotics, and I'd love to get more involved, whether that's through internships, side projects, connecting with people already working in the space, or just learning more about how the industry actually works.

I'd love to hear about your path into it, or any advice on companies, communities, or projects worth looking into. Happy to share more about my background if useful. Thanks!

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Hi all! I'm an agronomist with a PhD, currently working as a senior lecturer at a university of applied sciences, where I teach courses in viticulture, olive growing and pomology. I want to specialize in digital agriculture.

I recently completed Purdue University's "Digital Agriculture for Educators" program and I'm now looking for a good follow-up — specifically an **online course covering sensors adapted for small farms**: soil moisture sensors, weather stations, low-cost IoT setups, how they work, how to install them and how to interpret the data.

I'm also preparing a training program to introduce digital agriculture to smallholders in the Mediterranean — growers with a few hectares of vineyards, olives or vegetables. So I'm especially interested in courses that focus on prractical, affordable technology for small holdings rather than large-scale broadacre systems.

Preferences:

- Online (self-paced or scheduled, both fine)

- Certificate is a plus

- Small-farm / Mediterranean crop relevance is a big plus

Has anyone taken a course like this they'd recommend? University extension programs, MOOCs, industry trainings — all suggestions welcome. Thanks!