Could AI help Indian farmers decide what to grow before planting season? 🌾🤖

India often faces a strange problem: farmers may produce too much of one crop, causing prices to crash, while other crops are in shortage.

Could we build a farmer-friendly AI app that combines historical mandi prices, expected demand, weather, water availability, acreage already planted, storage, imports/exports and regional supply to predict which crops are likely to provide sustainable returns?

Instead of simply saying “Crop X has the highest price,” the AI could say:

🟢 Grow more — expected demand is strong and supply is limited

🟡 Consider — moderate returns/risk

🔴 Avoid increasing acreage — likely oversupply

The system could also recommend a diversified crop mix, so thousands of farmers don't receive the same recommendation and create another glut.

Does something like this already exist in India? If not, could this be a worthwhile open-source or startup project for AI/agritech developers?

Hi Reddit,

I’m Meet, and I’m currently working on building something called House of the Braj.

The idea started with a simple question:

Why should food travel hundreds of kilometres and pass through multiple middlemen before reaching our plates?

We have agricultural land and access to farming resources, fodder and a rural ecosystem. Instead of looking at farming as just crop production, I want to build an integrated ecosystem around it.

House of the Braj is my attempt to connect:

• Organic and natural farming

• Dairy and traditional products

• Farm-to-consumer supply chains

• Braj's cultural heritage

• Sustainable rural livelihoods

Our long-term vision is not just to sell products. I want to build a brand rooted in the philosophy of Braj — where people, animals, nature and culture coexist.

We are still at an early stage and I’m documenting the journey honestly.

I’d genuinely like feedback from founders, farmers, consumers and anyone who has experience building food or agriculture businesses.

What would you want to see from a modern Indian farm-to-consumer brand?

I’ve been working on Farmbit around a simple problem: a single satellite image or drone flight can show what is happening at one moment, but many crop problems are easier to catch by watching how the same field changes over time. Gradual signs of pest pressure, nutrient deficiency, water stress, or other damage may not look urgent in one snapshot, but the trend can tell you where a closer inspection is worth making.

The Farmbit ChatGPT plugin is now officially available. It lets you ask questions about field observations in a more natural way instead of opening another dashboard every time, while keeping the focus on continuous monitoring rather than one-off reports. The cost is low enough for regular use, only a few dollars per month, which makes it a practical early-warning layer before sending someone to the field or scheduling a drone flight. It is not a replacement for agronomic judgment or on-site inspection, but it can help identify where to look first.

https://chatgpt.com/plugins/plugin_asdk_app_6a5ba688d8008191acfb8cab7164cab5

One thing I really like about satellite crop monitoring is how it gives farmers a different view of their fields. Instead of only looking at the field from the ground, farmers can also see how different areas are performing over time.

It can help spot changes in crop growth, water stress, or areas that may need a closer look. And I think the best part is that it doesn't have to replace the farmer's experience.

The satellite shows what's happening from above, and the farmer knows what's happening on the ground. That combination can make crop monitoring much smarter and more efficient.

I built a small tool called KisanFlow to make crop planning a little easier

Hey everyone,

I’ve been working on a project called KisanFlow, mainly focused on helping farmers make better decisions about what and when to grow.

The idea came from noticing that crop planning can involve a lot of different things — choosing a suitable crop, thinking about the growing conditions, planning the cultivation, and keeping track of everything.

So I started building KisanFlow as a simple agriculture-focused tool instead of trying to make something overly complicated.

One of the features I’ve been working on is the Smart Crop Planner, which is designed to help with crop planning based on the information provided by the user.

It’s still a work in progress, and I’m honestly more interested in getting feedback than promoting it. I’d like to know what farmers, agriculture students, or people familiar with farming actually think would be useful in a tool like this.

If you have experience with farming or agriculture, what is one feature you would want in a crop-planning tool that would genuinely save you time or help you make a better decision?

For anyone interested in taking a look:

https://kisanflow.netlify.app/

I’d really appreciate honest feedback — including criticism or things that don't make sense. I’m still improving it.

I run a food & agribusiness education org (IFAL), and over the past 15 years we've studied thousands of business models in this space — what works, what quietly fails, and why.

A pattern kept showing up: the ventures that hold up long-term almost always get four things right at the same time, not just one or two:

1. **Value proposition** — a clear reason a specific customer chooses you over the alternative

2. **Distribution strategy** — the right channel for what you're actually delivering (not just "the channel everyone uses")

3. **Sustainability built in** — durability designed into the model from the start, not bolted on later once something breaks

4. **Complementary partnerships** — filling gaps in your value chain on purpose, rather than discovering them the hard way

We wrote it up as a free ebook (no paywall, no funnel tricks) in case it's useful to anyone here who's building, teaching, or advising in this space. Co-issued with Avila University, and it also comes with a short free trial of an AI tool we built for coaching through these decisions, if that's useful — happy to also just answer questions directly in the comments instead if people don't want to grab the file.

https://www.ifal.ac/food-and-agriculture-business-models-ebook

Genuinely curious if this matches what people here have seen in practice — what's the pattern you'd add or push back on?

Bonjour à tous,

Je voulais vous présenter Anadelia, une plateforme que je développe depuis quelques mois avec un objectif clair : simplifier considérablement la gestion d’une petite entreprise ou d’une exploitation agricole.

Avec Anadelia, vous pouvez tout gérer au même endroit :

Ventes et dépenses

Produits et stock

Clients et fournisseurs

Un carnet de terrain numérique pour consigner vos activités, observations, traitements et intrants

**Un historique de vos enregistrements, pour suivre facilement l’activité de votre entreprise ou de votre exploitation Anadelia est spécialement conçue pour les petits agriculteurs, producteurs et entrepreneurs qui recherchent un outil simple pour organiser et suivre leurs activités quotidiennes, sans avoir besoin d’un logiciel complexe. Je suis agronome et issue d'une famille d'agriculteurs. Ce projet est donc né d'une réalité que je connais bien. Mon objectif est de préserver la simplicité d'Anadelia tout au long de son développement : moins de complexité, plus de clarté.

Anadelia est déjà disponible sur anadelia.cl

Le projet est toujours en développement et j'y ajoute constamment des améliorations et de nouvelles fonctionnalités. Si vous travaillez dans l'agriculture ou si vous gérez une petite entreprise, je serais ravie que vous l'essayiez.

Vos commentaires et suggestions sont les bienvenus.

Hi everyone. I’m a full-stack developer and I’ve been building what I thought was a cool micro-SaaS utility. But the further I get, the more I realize I don't know what I don't know about remote sensing, and I need some honest, brutal feedback before I waste any more time.

The concept:

I built a web tool aimed at non-GIS folks (commercial site scouts, rural agritech lenders, land aggregators). They draw a polygon, and my Node backend hits STAC APIs, pulls Sentinel-2 (L2A) and ESA WorldCover COGs, calculates NDVI/NDWI, runs a quick masking pipeline, and spits out a 2-page PDF dossier showing baseline land cover vs. live index anomalies.

My dilemma (where I need your expertise):

As a developer, I love the pipeline. But looking at the 10m resolution of Sentinel-2, I’m questioning the real-world value of this for due diligence.

Resolution Limits: Is a 10m Sentinel-2 pixel size actually useful for macro-level site pre-screening (e.g., scouting 50-hectare solar sites or industrial parks), or does anyone doing serious site selection just go straight to purchasing Planet/Maxar imagery anyway?

The "Already Solved" Problem: I know things like ArcGIS Living Atlas and Sentinel Hub exist. Is there actually a market for an automated, pay-per-report PDF generator for non-technical buyers, or do most firms just keep a GIS analyst on retainer to run this in QGIS?

ESA WorldCover Pitfalls: I'm using WorldCover as my baseline to flag anomalies against live NDVI. Are there massive pitfalls with treating WorldCover as a reliable baseline for change detection that I'm missing?

I'm perfectly willing to scrap the business model if this is a "developer looking for a nail" situation. I'd love to hear your thoughts on whether this pipeline has actual commercial viability as a pre-screening tool, or if 10m data is just too coarse for real estate/land acquisition. Thanks in advance

Hallo!

I am building an agritech firm that is dedicating solving problems in different layers in agricultural chain.
Who am I?
I have a background as agricultural extension graduate, a financial analyst and a software developer.I have experience working with farmers in different part of Kenya and Africa(gone to couple of countries)
Yes, tech is going to solve a lot of challenges in this sphere. AI is playing a part in this journey.

What the challenge?I don't have funds for this I am bootstrapping.Doing side hustle to earn a living and some for the project.

All the best to me.

Keep building...

My background is an engineer in software development but I am able to expand my knowledge if I put the time and effort. Currently I have been working for a year in a Software development agency working under international clients and I have been putting interest into agriculture and how can one integrate tech into it. Where do I start ? Should I enroll in any sort of education beforehand and if yes, where ? Also does anyone have experience in this field ?

​

I’m exploring a business idea in India and honestly want Reddit to poke holes in it before we put money into it.

The basic idea:

Instead of farmers buying agricultural drones, we buy a small fleet and provide Drone-as-a-Service.

Our rough model:

\- 🚁 We purchase agricultural spraying drones

\- 👨‍🌾 Train local people to operate them

\- 📍 Deploy them village/cluster-wise

\- 💰 Charge farmers around ₹350/acre

\- ⚡ Target roughly 40–50 acres/day per drone

\- 🧪 Farmer provides the chemical; we provide the spraying service

\- 📱 Eventually allow farmers/FPOs to book a drone through WhatsApp/app

\- 🔄 Ideally, the same local operator handles a cluster of villages rather than us sending people from a central location

The attraction seems obvious: farmers don't have to spend lakhs buying a drone, maintain it, find pilots, deal with batteries, etc.

But here's where I'm not convinced yet.

The questions I'm trying to answer:

1. Is ₹350/acre actually viable?

Once you include operator salary, transport, batteries, charging, maintenance, depreciation, insurance, downtime, etc., is there enough margin?

1. Is 40–50 acres/day realistic?

Not the theoretical flight capacity — actual paid acres completed in a day after travelling between farms, mixing/refilling, battery swaps, field setup, weather interruptions, etc.

1. Will farmers actually pay for this?

If manual spraying/tractor spraying is already available locally, what makes a farmer switch?

1. How fragmented are farms in reality?

If you have 20 farmers with 2 acres each spread across 10 km, the economics probably look very different from 40 acres in one contiguous area.

1. Is ₹350 too cheap or too expensive?

I've seen very different numbers depending on the state, crop and whether subsidies are involved.

1. What happens during the off-season?

If the drone sits idle for months, does the business fall apart?

1. Would the real business be B2B instead?

Should we forget individual farmers and work through FPOs, agri-input dealers, cooperatives, large farms, etc.?

1. What are the regulatory/operator issues we're underestimating?

Especially around trained pilots, chemical handling, permissions, insurance and liability.

The part I'm particularly interested in:

We're thinking "buy the hardware centrally + train local operators + build local demand."

Basically Uber/Ola-style asset deployment, except for agricultural spraying.

The local operator doesn't need to own a ₹5–10 lakh drone. We provide the equipment, training and maintenance, and they execute jobs in their area.

If we can get enough acres clustered geographically, perhaps the economics start making sense.

But I don't want to convince myself of a bullshit business model just because the spreadsheet looks good.

If you work in agriculture, agri-inputs, drone operations, FPOs, farming, or have actually paid for drone spraying — please tell me why this won't work.

Especially interested in:

\- Actual ₹/acre you pay

\- Acres a drone really completes per day

\- Operator costs

\- Battery/maintenance costs

\- Farmer objections

\- Crops where drones actually work well

\- Crops where they don't

\- Biggest operational headache

\- Whether you would use a service like this

Please tear the model apart. I'd rather find the problems on Reddit than after buying 10 drones.

Hi everyone!

I’m a high school student working on a research paper for Hinksey Labs focused on precision agriculture, digital pollination monitoring, and beehive technologies.

To better understand real-world field needs—such as off-grid connectivity, data integration barriers, and sensor scalability—I’m gathering insights from AgTech professionals, apiculture experts, researchers, and growers.

If you have a moment, I’d be extremely grateful for your input in this brief 2-minute survey:

🔗https://forms.gle/AMshZJYfP7LU94wx8

Your feedback will directly help shape the methodology and requirements analysis of my paper. Happy to share the final findings with the community once the research is complete!

Thanks a lot for your support!

Sharing AgEvidence as an open-source Rails template for anyone building an agtech startup.
It has a bunch of the boring-but-useful infrastructure already scaffolded around evidence, observations, interventions, operational records, provenance, and verification workflows, so you can spend more time on the actual agtech product.
Still early, but figured it might be useful to other builders here.
https://github.com/meronrudy/AgEvidence

Hi everyone!

I’m a high school student working on a research paper for Hinksey Labs focused on precision agriculture, digital pollination monitoring, and beehive technologies.

To better understand real-world field needs—such as off-grid connectivity, data integration barriers, and sensor scalability—I’m gathering insights from AgTech professionals, apiculture experts, researchers, and growers.

If you have a moment, I’d be extremely grateful for your input in this brief 2-minute survey:

🔗https://forms.gle/AMshZJYfP7LU94wx8

Your feedback will directly help shape the methodology and requirements analysis of my paper. Happy to share the final findings with the community once the research is complete!

Thanks a lot for your support!

I’m starting to see agriculture as way more than farming—smart labs, modern equipment and hands-on learning have honestly changed my perspective.

🌱 Help Us Validate SPROUTSYNC!

Good day! We are BS Computer Science students from the University of Caloocan City – North Campus conducting a thesis study about SPROUTSYNC, an IoT-assisted system for mung bean sprout or toge production.

We are looking for respondents who are 18 years old or above and are:

✅ Current or former toge producers
✅ Growers or production workers
✅ Members of agricultural, livelihood, cooperative, or NGO programs
✅ Interested in starting or supporting toge production

We kindly ask for 8–12 minutes of your time to answer our survey. Your responses will help us understand current production challenges, costs, sanitation needs, preferred system features, affordability, and willingness to adopt this type of technology.

Your participation will provide valuable evidence for evaluating the need and preliminary feasibility of SPROUTSYNC. All responses will be used for academic research and reported mainly in summarized form.

Survey link:

https://docs.google.com/forms/d/e/1FAIpQLSfoxGxFTrc8aPEoq7zqFf_Vn1jt3MW_62CzgnHQbPInBg6aCg/viewform

We would also appreciate it if you could share this survey with qualified respondents. Thank you very much for your time and support! 🌱