AgroPredict
AgroPredict is the predictive module of the Spanish farming platform AgroMind. It converts weather, per-field satellite maps and sensor data into explained alerts on irrigation, water stress and pest risk, reaching growers, agronomists and cooperatives in-app and through WhatsApp.
What is AgroPredict?
AgroPredict is the artificial-intelligence layer of AgroMind, a modular farming platform published by AgroMind Solutions S.L. of Zaragoza, Spain. Two sibling modules sit beside it: AgroSense, the IoT sensor units the company designs and manufactures itself, and AgroMonitor, its satellite remote-sensing and per-field NDVI tool. AgroPredict is the piece that reads what the other two produce. It brings together weather, per-field maps and sensor readings and returns prioritised advice rather than a raw number. The product page is blunt about this: AgroPredict is not a chatbot, it works with your farm's real data.
Five named models do the work. The first flags water stress by crossing soil moisture, rainfall, forecast and field maps. The second answers the irrigation question directly, telling you whether to water, how urgently, and which zones to inspect first. The third marks pest and disease risk windows from humidity, temperature, rainfall, mapping and past incidents. The fourth projects soil moisture at 24, 48 or 72 hours and sorts the profile as stable, low or critical. The fifth situates the crop in its growth stage so irrigation, nutrition and scouting can be timed against it.
Nothing obliges you to supply all of that at once. Three input tiers are documented, weather only, weather plus maps, then weather, maps and sensors, and the first needs no hardware whatsoever. The crop knowledge base covers 70 crops and is presented as adapted to the Mediterranean and Iberian context. Alerts appear in the platform at app.agromind.es, reachable from any browser or phone with nothing to install, and are pushed to WhatsApp. The sample the site reproduces reads like a message from a colleague: risk of water stress in Sector 3 within 48 hours, bring irrigation forward, check dripper 12.
The commercial model is the unusual part. AgroPredict costs nothing: platform access is free and the module is included with it. The sensors and the advanced remote-sensing tier are the paid bricks, and their prices are not published anywhere. The publisher is very young, entered in the Zaragoza companies register in January 2026, and the announced roadmap of integrations, per-crop tuning and channel choice is still ahead of it.
What it does
- Predict water stress zone by zone, before it becomes visible in the crop
- Say whether to irrigate, with what urgency, and which areas to check first
- Flag pest and disease risk windows so treatment can be targeted rather than routine
- Project soil moisture at 24, 48 and 72 hours, as a stable, low or critical profile
- Place the crop in its growth stage to time irrigation, nutrition and scouting
- Rank the day's work: which field to attend to first
- Explain the reason behind each alert and push it to the platform and to WhatsApp
When to use AgroPredict / When not to
A quick filter to help you decide if AgroPredict is the right fit.
When to use AgroPredict
- Farm managers who want to decide when to irrigate before water stress is visible in the crop, and who need a reason they can act on rather than a raw soil-moisture figure.
- Agronomy technicians who have to justify a recommendation with data, and who value an alert that states which zones to check first and why it was raised.
- Cooperatives running many fields at once, for whom the daily question is one of priority: which plot deserves the first visit this morning.
- Growers of Mediterranean and Iberian crops, the context the 70-crop knowledge base is explicitly declared to fit.
- Farms with no equipment at all: the weather-only entry tier works without a single sensor, without hardware and without an installation visit.
When not to use AgroPredict
- Anyone expecting a conversational assistant. The product page says it outright: AgroPredict is not a chatbot, it works on the farm's real data.
- Livestock operations. All five models address soil, water, pests and crop stage; barn measurements such as CO2, ammonia or temperature belong to the AgroSense sensor range, not to AgroPredict.
- Teams that want mapping or NDVI imagery as such. Those are produced by the sibling module AgroMonitor; AgroPredict consumes them rather than generating them.
- Developers and IT teams looking for programmatic access: there is no public API and no developer documentation, so nothing can be wired into an existing farm system.
- Farms outside the Mediterranean and Iberian context, where the crop base is not claimed to be tuned, and users who insist on a native mobile app to install.
How to use AgroPredict
A typical end-to-end flow, from setup to results.
- Create an account on the platform: access is free, and registration is the only thing standing between you and the first alerts.
- Draw your fields inside the application, from a browser or a phone, with nothing to install.
- Start at the weather-only tier, where forecast data alone is enough to produce a first order of priority for the day.
- Add per-field maps to see which zones are doing better or worse than the rest of the plot.
- Add sensors when you want more precision, whether the publisher's own units or equipment you already have in the ground.
- Read the alerts in the platform, or receive them on WhatsApp so they reach you without a login.
- Use the view that matches your role: grower, technician or cooperative manager each get their own.
- For a guided walkthrough, fill in the contact form with your name, email, phone, hectares, main crop and need, or open the direct WhatsApp link.
- Have your context ready for that conversation: province and crop, hectares and number of plots, and irrigation system, whether drip, sprinkler or pivot.
- Expect a reply within 24 hours, the response time the site announces for demo requests.
Pros & Cons
Pros
- Free of charge: AgroPredict is included with platform access at no extra cost, which is rare for a predictive layer.
- Starts with no hardware and no installation, thanks to the weather-only tier.
- Precision is built up gradually and modularly, and sensors from other manufacturers are accepted.
- Alerts explain their reason instead of delivering a bare score, which makes them defensible to whoever acts on them.
- WhatsApp delivery puts the information where a grower is already reading, not behind another login.
- The 70-crop base is designed for the Mediterranean and Iberian context, an unusual focus in this market.
- Web interface with nothing to install, usable from a phone while standing in the field.
Cons
- No price is published for the paid modules. The absence is verified rather than assumed: the sitemap's 54 Spanish and English URLs contain no pricing page at all.
- No API and no developer documentation, so there is no way to connect AgroPredict to an existing farm management system.
- The privacy policy covers only the site visitor and the demo requester; nothing is published on the ownership or use of agronomic data.
- No DPA is published, no processor is named individually, and no hosting country is announced.
- Complete silence on whether customer data is used to train models, and on any option to opt out.
- No performance figure belongs to AgroPredict alone. The 30% water saving, 500+ hectares and 1,200 alerts a month on the homepage are claimed for AgroMind as a whole, sensors included.
- A very young publisher, registered in January 2026, with no named customer testimonial, no native mobile app, no documented phone support, and Spanish and English product pages that still differ from each other.
Pricing & Plans
AgroPredict is provided free of charge. Platform access carries no fee and the site states that AgroPredict is included at no cost, which is why no starting price, currency or billing unit is recorded in this entry. The paid elements of the wider AgroMind offer are the AgroSense hardware and the enhanced remote-sensing tier, described as modular and affordable but never quantified: no amount, in any currency, appears anywhere on the site. This is a verified absence rather than a supposition, since the 54 Spanish and English URLs listed in the sitemap include no pricing page of any kind. Figures are obtained only through a demonstration or a quotation, requested via the contact form or WhatsApp, with a reply announced within 24 hours. The publisher also advertises no minimum term and no small print.
- No commercial plan is published. The site names no tier
- quotes no grid and lists no price for any part of the offer.
- forecast data alone
- no hardware required. A tier of input
- not a commercial package.
- adds satellite mapping so zone-by-zone differences become visible.
- the most precise configuration
- using the publisher's units or existing equipment.
- AgroSense modules (marked as recommended)
- integration of third-party sensors
- adaptation of the AgroMind module to existing sensors
- or the platform alone on top of an installation already in place. AgroPredict comes with platform access in all four cases.
Data, GDPR & hosting
A consolidated view of how AgroPredict handles your data.
GDPR overview
Implementation is concrete and above the usual standard for a company this young. The policy, last updated on 13 February 2026, applies Regulation (EU) 2016/679 together with Spanish law, and it names a legal basis for every purpose rather than gesturing at compliance. Access, rectification, erasure, objection, restriction, portability and withdrawal of consent are all offered, exercised in writing at legal@agromind.es, and the Agencia Espanola de Proteccion de Datos is named as the supervisory authority for complaints. Transfers outside the EEA are acknowledged, with adequacy decisions, Standard Contractual Clauses and supplementary measures announced as safeguards. Security is described as access control and encryption in transit, with no claim of infallibility. Minors under 14 are asked not to send personal data without parental consent. No DPO is appointed, and no Article 27 representative, which is normal for a Spanish-established publisher. Missing: any published DPA and any named list of processors.
Who owns the data?
The published documents settle less than you would hope. AgroMind Solutions S.L. (NIF B26604116, Zaragoza) is named as the controller for personal data, and the terms reserve intellectual property in the site's own content to AgroMind or its licensors, a clause about the website rather than about your farm records. Nothing published states who owns the agronomic data AgroPredict processes: field boundaries, sensor readings, satellite indices, alert history. The privacy policy is scoped to site visitors and demo requesters, and stops there. One commitment is made plainly, and it is worth having in writing: the site declares that it does not sell your data.
Reuse rights
The privacy policy sets out purposes and legal bases field by field. Enquiries and demo requests are handled on consent and pre-contractual measures (Art. 6.1.a and 6.1.b); commercial relationship management and proposals on contract (6.1.b); marketing messages on consent (6.1.a); site improvement, security and fraud prevention on legitimate interest (6.1.f); accounting and tax obligations on legal duty (6.1.c). The categories processed are identification and contact details, professional context such as crop, hectares, province and stated need, plus browsing and technical data (IP, device, pages viewed, usage events) and communication logs. Recipients are described only by category: hosting, CDN, analytics, email, CRM and support providers acting as processors under contract, messaging providers with WhatsApp given as the example, and public authorities where the law requires it. The end user is not granted any stated right to reuse the site's content, which the terms keep. And on the question that matters most to a farm, the documents are silent: nothing is said about whether agronomic data feeds model training, in either direction, and no opt-out is offered.
Data retention & training
Hosting summary
No hosting country and no hosting region is announced anywhere on the site. The only statement on the subject is a caution in the privacy policy: some technology providers may be located outside the European Economic Area, or may process data from third countries. Where that happens, the policy announces appropriate safeguards, naming adequacy decisions, Standard Contractual Clauses and supplementary measures where applicable. Providers are described by category only, hosting, CDN, analytics, email, CRM and support, and never named individually, so no sub-processor list can be checked against a jurisdiction. One network observation, which is an observation and not a company statement: the domain resolves to 212.227.98.151, an address belonging to IONOS SE (AS8560) and located in Spain. That describes where the website is served from, and says nothing about where farm data or model outputs are stored. Anyone with a jurisdictional requirement should get the answer in writing before uploading field data.
Things to keep in mind
Risks and trade-offs to weigh before adopting AgroPredict.
- The governance gap is the sensitive point. Nothing is published on the ownership, use or retention of agronomic data: field boundaries, sensor readings, satellite indices. The privacy policy addresses the site visitor and the demo requester only.
- No statement exists on whether customer data trains the models, in either direction, and no way to exclude your data is documented.
- No DPA is published, no processor is named individually and no hosting country is announced, while the policy warns that some providers may sit outside the European Economic Area.
- Alerts travel through WhatsApp, a third-party messaging provider named in the policy. Field-level information leaves the platform to reach you.
- The terms exclude warranties and cap liability. A wrong agronomic recommendation does not bind the publisher, so the decision, and the cost of a bad one, stay with you.
- Ranked alerts are comfortable, and comfort is the risk. Letting a daily priority list replace walking the field erodes the observation habit that catches what no model was ever fed.
- Do not lend AgroPredict figures that belong elsewhere. The 30% water saving, 500+ hectares, 1,200 alerts a month and fourfold ROI on the homepage are claimed for AgroMind as a whole, sensors included, and the English product page advertises 24/7 monitoring that the Spanish page never mentions.
Setup & Integrations
Technical difficulty
Very low for AgroPredict itself. You create an account, draw your fields and install nothing: the platform runs in any browser or on a phone. At the weather-only tier no hardware is needed at all, and maps then sensors are added whenever you choose. One distinction matters: the installation times quoted in the homepage FAQ, a few hours for standard equipment and first data within 24 to 48 hours, describe fitting AgroSense sensors, not setting up AgroPredict. The publisher states that deployments include training and personalised support, with help available by WhatsApp and email.
Deployment
Integrations
Supported languages
Behind AgroPredict
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
Do I have to pay for AgroPredict?
Do I need to install sensors before I can start?
What exactly does it predict?
Where do the alerts arrive?
Will it work with the sensors I already own?
How many crops are covered?
Is there an API?
Is my farm data used to train the models?
How do I get a demonstration?
Should you pick AgroPredict?
AgroPredict sits in an unusual position: the free predictive layer of a paid modular platform, which makes it one of the cheapest ways to find out whether prediction changes anything on your farm. Its real strength is the entry path. You can begin with nothing installed, an account and a field drawn on a map, and still get an order of work for the day. Maps and sensors are added when you decide, third-party equipment included. The alerts give their reason rather than a bare score, and they land on WhatsApp, where the grower is already reading. The 70-crop base tuned to Mediterranean and Iberian conditions is a genuine specialisation.
The reservations are just as clear. The paid parts of the offer carry no published price at all, an absence verified across the 54 URLs of the sitemap rather than presumed. There is no API and no developer documentation, so nothing plugs into an existing system. Most importantly, nothing published settles what becomes of your agronomic data: the privacy policy covers the site visitor and the demo requester and stops there, leaving ownership, hosting, retention and any use for model training unaddressed. Add a publisher registered in January 2026, with no named customer reference and product pages that still differ between Spanish and English, and the picture is of a promising product whose paperwork has not yet caught up with it.
The sensible move follows from that. Trying AgroPredict costs nothing and risks nothing but your time, so try it, and judge the five models against fields you know well. Before you commit real farm data to it, put the contractual questions in writing to the publisher and get the answers the site does not yet publish.
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