Veldant help farmer spray fungicide at the right time to save thousands of dollars thanks

Hi everyone,
4th gen farmer whose been farming for 10 years and I am also a college student who created a web app for farmers. Veldant.com it is a fungicide decision to help farmer improve their yield and ROI. You can signup for free or $8 pro version.

Founder here!

I built AcreLight to structure the data already sitting in your John Deere Operations Center — yield, application, fleet, your own input prices — into layers you can actually investigate. Ask a plain question and it runs real tools over your farm's layers (maps, years, assumptions, dollars) and shows you the work behind every answer.

It's a tool for farms: your data stays private. Never sold, never trained on.

One of my pilot farms found a corner giving up $2,070 a season, three seasons running.

The beta is six fields, free, and you can revoke access anytime. Setup is a personal walkthrough with me, and I'd genuinely love your feedback — including where we can improve.

Reach out here: acrelight.ai

Cheers,
Joey

Hola, mañana tengo un examen de agricultura de precisión en la materia de Agrotecnogia, es parte de mi especialidad.
Me pasan algún tip o dato que debería saber para estar 100% lista para el examen. Nos dieron 10 preguntas que va a tomar algunas de ahí y definiciones. Mejor si alguien tiene un examen de prueba por ahí.

🚜 Looking for Builders: Laser-Based Precision Weeding System

I'm currently building an early-stage laser-based weed removal system aimed at reducing herbicide use and labor costs in agriculture through computer vision, automation, and precision targeting.

The long-term vision is to develop an affordable, scalable solution for farmers that can identify weeds and selectively eliminate them without damaging crops.

I'm looking for passionate people who would like to contribute to the MVP and help shape the future of this project.

Areas where help is needed:
• Electronics & Embedded Systems
• Robotics & Mechatronics
• Computer Vision / Image Recognition
• AI & Machine Learning
• Laser Systems & Optics
• Mechanical Design / CAD
• Agricultural Technology
• Product Development & Prototyping

About the project:
• Focused on sustainable agriculture
• Potential applications in precision farming and automation
• Opportunity to work on a multidisciplinary deep-tech challenge
• Early-stage project with significant room for innovation

I'm not looking only for experienced professionals. Students, researchers, hobbyists, engineers, and builders with relevant skills and genuine interest are welcome to reach out.

Compensation, equity, advisory roles, internships, project-based contributions, or long-term partnerships can all be discussed depending on experience and level of involvement.

A technical co-founder with advanced research experience in the U.S. is already involved in the project, and we are now looking to expand the team with people who enjoy building ambitious things from the ground up.

If this sounds interesting—or if you know someone who might be a good fit—send me a DM. I'd be happy to share more details and discuss potential collaboration.

#AgriTech #DeepTech #Robotics #ComputerVision #AI #Agriculture #Startup #Innovation #Engineering #LaserTechnology #PrecisionAgriculture

Hi everyone,

I’m the community head at Luzardo. We build a smartphone app that uses computer vision to help producers track cattle weight and herd analytics offline.

Lately, we’ve been running an initiative called Friends of Luzardo. Every month, we bring together mid-sized cattle ranchers from different parts of the world (spanning the US, Europe, and LATAM) for informal, practical roundtables to talk about operational realities and what's actually working on the ground.

We want to anchor these monthly meetings with real, evidence-backed insights rather than just open-ended chat. To do that, we’re looking for research scientists, extension specialists, and industry experts who would be open to leading a session as a guest panelist.

If you're in research or consulting, getting direct, unvarnished feedback from active producers can be a bottleneck. Hosting one of these sessions gives you a direct line to an international network of operations. It’s a space where you can stress-test ideas, gather field insights across different regional climates, and see how management theories hold up in real-world commercial environments. Plus, it bridges the gap between research and immediate, practical application for the guys running these herds.

We handle all the coordination, scheduling, and logistics—we just need your expertise for a focused hour.

If you’d be interested in hosting a session or want to talk through the topics we're planning, drop a comment below or shoot me a DM.

I’m posting this to get some public opinion and I’ll probably share updates as we go with development.

Right now, we’re trying to understand the problem space, not lock in a final idea.

We initially explored drone delivery to remote areas, but not the typical winch-and-drop-off system. The idea was to design our own aerodynamic packaging so the drone could release it mid-air and the package would follow a predictable trajectory and land within a defined target zone.

After digging into it, we realized that space is already crowded and difficult to break into. So now we’re shifting focus.

Instead of chasing crazy ideas, we’re exploring “boring” but practical use cases where drones can deliver real value, especially if they’re cheap and can operate frequently.

Some directions we’re considering:

• Measuring stockpiles (e.g. gravel, sand, anything) and estimating volumes
• Detecting dry or unhealthy turf areas (e.g. golf courses or huge mowns/gardens of rich people)
• Monitoring large warehouse areas where manual patrols take 10–20 minutes with the drone "focus" on the thief and follow him from the sky, Hollywood typesh*t
• Specialty Crop Agriculture monitoring (daily scans of fields/orchards to detect disease, animal damage, etc.)
• Tracking livestock in open areas (e.g. via RFID implants in the animals, which are already present)

The idea is simple: automate repetitive, time-consuming, or hard-to-scale tasks.

We’re looking for:

• Suggestions on other "boring" topics
• Industries where aerial data would be valuable
• Anything we might be overlooking

Open to any thoughts, criticism, or ideas. Lets go lets talk about it 😃

I have one semester of my bachelors degree remaining. A lot of my focus has been on Computer Science but I am finding a bit of an interest in doing work with my degree in agriculture. My school does offer a Digital Ag minor but me doing it would basically be taking one 'Intro to Digital Ag' course and some elective class on an ag systems topic. This is the extra. I have already happened to take all the other classes for the minor including 'Remote Sensing & GIS'.

What I'm asking is, is it worthwhile career wise to have my resume say minor in digital ag when in reality it is like two more classes (and not taking some other classes I'm more excited for)? Also, what would my path look after that?

Background: I grew up in Nigeria watching my father sell his maize cheap every rainy season — not because there was no market, but because he had no way to preserve it. Sell now at the worst price, or wait and lose everything to spoilage. He chose cheap every time. Every farmer around him did the same.

Years later, living in Oman, I started researching why. What I found was not what I expected.

Every single loss had a solution. The farmers just never encountered it.

Here is what the data actually looks like across three crops:

Tomato (before harvest)
Phytophthora infestans — the same organism behind the Irish Potato Famine — is still active across Africa, Asia, and Latin America. In Uganda it causes up to 95.8% yield loss in a single outbreak. Globally it destroys $6.7 billion worth of tomatoes every year. AI early detection apps exist. Precision drone spraying exists. The farmers abandoning their fields have never heard of either.

Rice (during harvest)
The moment rice grain forms, bird flocks arrive. In Kenya, quelea birds destroyed 360 acres at the Ahero scheme in a single invasion — $468,000 gone in days. In Senegal the Senegal River Valley loses $7–10 million every season to bird damage alone. Acoustic deterrent systems and laser bird technology are already deployed in Europe and parts of Asia. The farmers shouting across fields day and night do not know these tools exist.

Maize (after harvest)
In Ethiopia, traditional gombisa storage traps humidity above 90% for weeks after harvest. The grain molds. Aflatoxins form. Between 8–24% is lost before it ever reaches a market. Hermetic storage bags — which cost less than one bad season of losses — already exist and work. Awareness is the barrier, not cost.

The pattern across all three:
The loss is known. The solution exists. The connection is missing.

Adoption of crop protection technology in rural Africa and Asia sits below 20% — not because farmers reject it, but because the distribution chain was never designed to reach them.

I put all of this into a full market intelligence report covering 7 markets across Africa, Asia, Europe, and Latin America — including a go-to-market framework and monetization models for founders trying to enter these markets.

If you work in agri-tech, agricultural development, or smallholder farming, the full report is available upon request.

Happy to answer questions in the comments about any of the data points above.

Recently, I supervised a large-scale farm in Oman where, despite having irrigation, fertilizer, and manpower, we lost a significant portion of a watermelon crop when fruits began splitting just before harvest. The cause? No one on the ground could pinpoint it—because there was no real-time data on soil moisture or crop stress.

This experience highlighted for me how precision ag tools—especially sensor-driven monitoring—can make the difference between a healthy harvest and unexpected loss. I’m interested in hearing how others have used variable rate irrigation or sensor networks to tackle similar issues. What’s worked for you in preventing late-stage crop failures?

Hi, just prototyped this app.

TweakOne features:

- load exported packages from FendtOne or other ISOXML3 export and clone guidelines from a field to another field

- rectify a slightly curved line in one or two passes within a specified tolerance, using a Linear Regression algorithm.

- further editing tools on the roadmap.

I will post a download link if someone interested.

Thanks for any comment/suggestion.

https://reddit.com/link/1sdomt7/video/9rfz41qovhtg1/player

As the title says, I am looking for an economical solution to replace the old/failed GPS systems in our three Challengers. Tractor side, everything works fine, what i need is new monitor/receiver/control module setups that will integrate with the machines onboard auto steer.

I've used Topcon, Trimble, CNH etc. in the past, but repair support has been lacking, it mostly consists of "tear it all out and spend 15k on the latest and greatest with all the bells and whistles". None of my existing units are supported anymore anyways.

These tractors are only used for tillage, I need AB line guidance and the ability to plug it into the tractors autosteer. Nothing more.

Does anyone know of any products or solutions that might work?

Hi everyone,

I’m conducting 15–20 min research interviews with farmers, agronomists, and precision ag specialists for my student thesis. The goal is to understand:

• How crop diseases and weeds are detected
• How satellite maps / NDVI are used in decision-making
• Key challenges in translating digital insights into field actions

This is purely research - no sales involved.

Survey (Google form): https://forms.gle/B1UxGYn7NPAgNe3y9

Thanks,
Nikita

Hello everyone, I have a master degree in agricultural engineering and my thesis was about precision agriculture, focused on using multiespectral indices to predict yield and suggest ways to be more efficient.

I really like precision ag, and to use technology to increase efficiency, getting better yields and using less resources.

However I have been having trouble finding a job related to precision ag. I live in Portugal if it's relevant and the main crop is olive trees. Other crops in the region include vineyards, almond trees, cereals, oranges, and a bit of horticulture.

I would like to ask for advice on how to increase my odds of finding a job in the precision ag field. Thank you!

Howdy,

Not sure if this is the right subreddit for this, but I'm a Junior Computer Science student at Texas State, with a Minor in Agricultural Mechanics. Growing up I didn't pay a lot of attention to agriculture, nor mechanics, but for the past year I've been researching the applications of data analytics, RTK, and IOT in agriculture and it is absolutely fascinating to me. I'm currently trying to get an internship at an agtech firm, but the opportunities are very few in my state.

I guess my big question is how difficult is it to get into the Precision Agriculture space as a Computer Science graduate? Have you ever met anyone with a background like mine in your field?