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DeepMet 1 is a deep learning-based rainfall prediction model developed by Fyllo (Agrihawk Technologies Pvt. Ltd.). It uses INSAT satellite data to generate precipitation forecasts at 10 km spatial resolution with 6-hour lead times and 1-hour temporal granularity across the entire subcontinent.

In benchmarks from Jan–Jul 2025 across 25 farm plots, DeepMet 1 achieved 0.50 average recall and 0.18 average precision, outperforming ECMWF IFS (0.37 recall, 0.15 precision), AccuWeather (0.26 recall, 0.13 precision), and Climacell (0.42 recall, 0.15 precision). Ground truth was validated using Fyllo's Kairo rainfall sensors.

Primarily INSAT 3DS thermal and water vapour channels at half hourly intervals. INSAT 3DR serves as backup along with multi-geostationary satellite feed that provides fallback for blackouts due to maintenance or equinox solar intrusion.

10 km × 10 km spatial resolution with 6-hour forecast lead time and 1-hour temporal granularity. Uses prior 6 hours of satellite data as input. Future revisions target 4 km resolution, 30-minute granularity, and 12–48 hour horizons.

Visualizations are available at fyllo.in/weather-forecast. For API integration, email contact@fyllo.in.

Disaster management, urban infrastructure, energy systems, logistics & transportation, insurance & finance, agriculture, and research & academia.

CNNs for spatial feature extraction, ConvLSTM and attention-based layers for spatio-temporal modeling, and attention heads for post-processing. Augmented with temporal (hour, day, month) and static (elevation, lat, lon) features.

24–48 hour forecast horizons via Transformers, multi-parameter forecasting (temperature, humidity, wind), NWP hybrid integration, global 4 km resolution via transfer learning, IoT integration with Fyllo Kairo/Nero sensors, and open datasets on Hugging Face.

Currently Dharti is available to Fyllo device owners — as the device's real-time data is central to the quality of advice Dharti provides. Without live farm data, Dharti's answers would be less specific and less accurate. Fyllo plans to extend Dharti to all farmers in the future.

Yes. Dharti supports all major languages including Hindi, Kannada, Marathi, Punjabi, Telugu, Tamil, Gujarati, Bengali, and English. Farmers can speak or type in their native language and receive responses in the same language.

Dharti's visual diagnosis is continuously improved through weekly retraining. Unlike a standalone image recognition tool, Dharti cross-references visual symptoms with live farm environmental data — making its diagnosis contextually grounded. Accuracy improves each week as more diagnosed cases are reviewed and fed back into training.

Yes. Farmers can speak to Dharti in their language — particularly useful when they are in the field with their hands occupied. Voice input is converted, processed with the farm's live data, and a voice response is returned. No typing required.

General AI assistants give generic farming advice without knowledge of your specific farm, your crop's current stage, or what's actually happening in your soil right now. Dharti is connected to your Fyllo device's live data, trained specifically on farming conditions over 2 years, and retrained weekly on real farmer questions. It answers for your farm — not for a textbook farm.

Currently Dharti is available to Fyllo device owners — farmers who have a Nero Infinity or Kairo device installed on their farm. This allows Dharti to access real-time farm data for personalised advice. Fyllo plans to make Dharti available to all farmers in the future.

Dharti is both. Farmers can interact with it via text chat or voice — speaking in their language and receiving voice responses back. The multimodal capability (text, voice, image, video) makes it accessible to farmers regardless of their digital literacy level.

Kairo data is accessible via the Fyllo mobile app (Android and iOS), a web dashboard for larger users, and through APIs for enterprise and government system integration. The app is required for individual farmers. Dashboard and API access are available for FPOs, corporates, and institutional users.

Yes. Kairo is designed to be self-installable — no technician or specialized training required. Fyllo's retailer and distributor network provides on-ground support for first-time installation if needed.

Yes. Like all Fyllo devices, Kairo uses e-SIM connectivity and does not require WiFi or cables. It works anywhere in India with basic mobile network coverage, making it suitable for remote farm locations.

Yes — this is the recommended setup for large farms and FPOs. One Kairo provides shared weather intelligence across 100+ acres, while Nero Infinity units placed across individual plots provide soil-specific irrigation and fertigation data for each plot.

Kairo supports 35+ crops across India including grapes, pomegranate, sugarcane, coconut, arecanut, citrus, apple, mango, banana, tomato, strawberry, cotton, wheat, and more. Advisory is specific to crop variety and growth stage.

Yes. Fyllo operates in 7 countries including Spain, Finland, France, Turkey, Japan, and Africa in addition to 13+ states across India. Kairo is available internationally through Fyllo's partnerships.

Nero Infinity measures soil moisture at root depth using SWR technology. This data is combined with your crop type, growth stage, local weather forecasts, and Fyllo's crop-intelligence models. The result is a precise irrigation recommendation — not a generic one — sent to your phone as a simple alert.

No. The Fyllo app is designed to be simple — it tells you what to do in plain language. You don't need to understand the sensor data or algorithms. If the app says irrigate, you irrigate. If it says wait, you wait. Fyllo's team and retailer network also provide on-ground support during setup.

Nero Infinity is built for long-term outdoor use. No metal contacts, no rust, no degradation. Auto calibrates itself and delivers accurate readings year after year, season after season. The EV-grade battery with solar support means continuous operation without manual charging. Fyllo's warranty policy covers the device.

Nero Infinity is available through Fyllo's distributor and retailer network across India, with particularly strong availability in Karnataka and Tamil Nadu. You can also book directly at fyllo.in.

One device monitors the soil conditions in its installation zone. For larger farms or farms with multiple soil types or crop varieties, multiple devices may be needed. 80% of Fyllo farmers have purchased additional devices for other plots after seeing results from the first — which is why Fyllo offers the device at an accessible price point.

Yes. With its reduced price of ₹8,999*, sugarcane has become one of Fyllo's top three crops. Sugarcane is a high water-consuming crop — irrigation timing and volume are critical to yield and sugar content. Nero Infinity helps sugarcane farmers avoid both over-irrigation (which causes diseases) and under-irrigation (which reduces yield).

Nero Pulse is currently in pilot stage with 5 companies running active projects across India. The pilot pricing is ₹5,999*. If you are a paddy farmer, FPO, or government programme interested in joining the pilot, contact Fyllo at fyllo.in/contact.

Nero Pulse is primarily designed for upland and transplanted paddy farming where AWD is applicable. Compatibility with SRI and direct seeded rice should be confirmed with Fyllo during the pilot consultation.

Yes. It provides timestamped, verifiable water level data that climate-smart agriculture programmes and carbon credit verifiers require to quantify methane reduction from AWD implementation.

Typically one device per irrigated field plot, placed at a representative location. Larger fields or varied topography may need additional units. Fyllo provides site-specific recommendations during onboarding.

Yes. It uses a built-in e-SIM and connects directly to mobile networks. No WiFi, cables, or local internet required — it works anywhere with basic mobile coverage.

Real-time water levels across all farms, historical data per device, irrigation event logs, water savings calculations versus flooded baseline, and API access for integration with existing monitoring systems.

Yes! We are always looking for passionate minds to join us. You can explore all active openings and apply directly at fyllo.in/careers/jobs, or send your CV and portfolio to contact@fyllo.in.

Fyllo offers a robust perks package including health insurance for you and your family, a generous leave policy with ample personal time, daily complimentary lunch and tea/coffee, a recreational zone featuring table tennis, generous maternity/paternity parental benefits, and fair, performance-rewarding compensation packages.

Our core DNA revolves around: 1) A high sense of ownership, empowering you to innovate; 2) Acting as a growth partner to support your personal and professional path; 3) Fostering long-term thinking and partnerships; and 4) Striving to be 'better every day' to continuously deliver field impact.

Agri-input dealers, retailers, and distributors can submit an inquiry through our dedicated channel partner form on fyllo.in/become-channel-partner, email us at contact@fyllo.in, or call our partnership line directly at +91 9380908040. Our team will review your application and respond within 24 hours.

Fyllo retailers earn a highly lucrative 20% upfront margin on every IoT device sold. In addition, you unlock an ongoing recurring lifetime revenue stream from annual farmer subscriptions for app-based data renewals.

We believe in scaling together. We provide complete 360-degree backing, including localized digital campaigns and social media promotion, physical brochures and store banners, co-branded marketing assets, hands-on technical sales training for your team, on-ground demo events, and expert agronomy advisory support.

Absolutely! In fact, small-scale farmers growing 2-5 acres of high-value crops benefit the most. Traditional calendar farming carries high risk; on a small acreage, a single missed spray or watering error can wipe out your entire season's livelihood. With a hardware entry price of just ₹8,999*, Fyllo is highly accessible and usually pays for itself in one season.

On-ground results collected from thousands of active farmers show that Fyllo helps achieve: 1) Up to 25% yield boost; 2) Up to 30% to 33% irrigation water savings (reducing electric power bills); 3) A 20% savings on fertilizer inputs; and 4) A 20% to 25% drop in crop chemical spray costs.

Agrihawk Technologies (Fyllo) provides an industry-leading 24-month (2-year) express warranty from the purchase invoice date. This warranty exclusively covers any manufacturing defects on Fyllo-branded hardware IoT devices for personal farm usage.

If your device encounters an issue, simply raise a support ticket in the Help section of the Fyllo mobile app or contact your Fyllo representative. Our support team will review the issue and arrange on-site repair at your field or safely ship the device to our HSR Layout headquarters for tests.

The warranty is voided in cases of product theft, label/serial number tampering, modifications or physical alterations, damage resulting from misuse or incorrect installation, lightning strikes, natural floods, or other force majeure acts of God.

You have the right to cancel any order within 7 days of receiving your device. Upon notifying us of your cancellation and returning the physical goods, Fyllo will process and reimburse a full refund directly to your original payment method within 14 days, with absolutely zero handling fees.

Soil water storage refers to the total amount of water stored in the soil within the plant's root zone, which is determined by the soil texture and crop rooting depth. Deeper roots mean a larger volume of water can be stored, providing a larger reservoir for the crop to draw upon between irrigations. Understanding the soil water storage capacity enables irrigators to determine the optimal amount of water to apply and how long to wait between each irrigation. For instance, on sandy soils with a low water storage capacity, less water would be applied at one time compared to loam soils with a higher water storage capacity.

Evapotranspiration is the combination of evaporation and transpiration, representing the movement of water from both the leaf and land surfaces to the atmosphere. ETO, or reference evapotranspiration, is a crucial factor in determining irrigation requirements and frequency. As ETO increases, so does the amount of water that needs to be applied to maintain optimal soil moisture levels for plant growth.

Our device captures data on various parameters through sensors, then analyzes it using different agronomic algorithms, including models for detecting diseases and pests. Each disease and pest has a specific etiology, which refers to the environmental conditions that are most suitable for its incidence.

Our installation process involves conducting a detailed survey of the plot to determine variations in soil type and root zone. Based on the survey results, we select an installation point using a plant of average growth to represent the entire plot.

We use leaf wetness data to predict airborne foliar diseases, and light intensity (measured with a lux meter) to predict both disease and pest incidence.

Delta T is the difference between the dry bulb temperature value and the wet bulb temperature value. When this value falls between 2 to 9, the stomatal cells on the plant leaf remain open, making foliar application such as systemic spray or PGR application more effective. On the other hand, VPD represents vapor pressure deficit, which is the optimal time for fertigation when a plant's active absorption is at its highest.

The predicted delta is derived from weather prediction data, whereas the calculated delta is derived from live data.

Degree days refer to the sum of temperature (heat) accumulated during the growth of the crop. In clear terms, it can also be called the age of the crop.

Annual recharge for the sim card is done to send and receive the data from our server whenever required. Also farms data is securely saved on cloud so that farmers can access their data when needed.

The life of the device is 5-6 years and it comes with a warranty of 2 years except for any physical damage.

Precision & accuracy: Our unique installation process and positioning of sensors help us provide the most precise insights with maximum accuracy. Agronomical Algorithms: Any sensor in the market can track the Data of all-weather parameters, but Fyllo’s Agronomical models make us unique which are created by a team of scientists led by Dr. Shikhamany who is considered by many as the father of Indian grape industry. 99% customer retention: Fyllo is known for its service on the ground i.e any issue or ticket raised gets solved within 24 hours of time regarding any agronomical assistance & maintenance bringing Customer delight. User-friendly Interface: Fyllo provides the most user-friendly application easy to understand for any individual of any language, Age group.

In Fyllo app go to hamburger menu (click on “≡” three lines). Scroll down, you will see Fyllo logo and app version under it.

Fyllo was founded in 2019 by Sudhanshu Rai and Sumit Sheoran. They founded Fyllo with an aim to make decision-making easy and accurate in agriculture, drawing from their background in computer science at EdgeVerve and their roots in agricultural families.

Fyllo supports and covers over 35+ crops across India, including high-value varieties like grapes, pomegranate, sugarcane, citrus, apple, mango, banana, tomato, coconut, arecanut, wheat, cotton, and more. All agronomy models are specific to your crop variety and current growth stage.

Over 15,000+ farmers across India use Fyllo's precision agriculture devices and agronomy models to make data-driven, precise decisions on their farms.

Fyllo has researched and developed over 100+ crop-specific agronomical models. These models provide real-time intelligence for irrigation, fertigation, pest prediction, and disease forecasting based on soil and weather parameters.

Fyllo devices are priced to be accessible to all categories of farmers: 1) Nero Infinity (Soil moisture & root-depth irrigation sensor) starts at ₹8,999*. 2) Fyllo Kairo (Complete IMD-certified weather & soil intelligence station) is priced at ₹56,000*. 3) Nero Pulse (AWD Paddy Sensor) is priced at ₹5,999*.

SWR (Standing Wave Ratio) technology is used in our Nero Infinity device to measure soil moisture at the plant's active root depth using high-frequency electromagnetic waves. SWR technology measures the soil's dielectric constant to provide highly accurate moisture and temperature data without metallic contacts, preventing rust, degradation, or wear and tear.

Fyllo Kairo captures 12 critical parameters to give you complete farm visibility. These include: soil moisture at two depths, soil temperature, air temperature, relative humidity, atmospheric pressure, leaf wetness, light intensity (Lux), UV index, rainfall volume, wind speed, and wind direction.

DeepMet 1 covers the entire subcontinent. It generates highly localized precipitation forecasts at a 10 km × 10 km spatial grid resolution, with a 6-hour forecast lead time and 1-hour temporal granularity, using half-hourly satellite data from INSAT 3DS.

The best soil moisture sensor for Indian farms is an IoT-enabled SWR (Standing Wave Ratio) sensor that measures moisture at the root zone without metallic contacts. Unlike cheap resistance-based metal probes that rust and degrade within a season due to salt and humidity, SWR sensors (like Fyllo's Nero Infinity) provide long-term, high-frequency measurements that remain accurate for years. This makes SWR sensors highly cost-effective for Indian soils.

Precision farming in India has become highly affordable, with entry costs starting around ₹8,999* for basic IoT soil sensors like Fyllo's Nero Infinity. A complete weather-and-soil monitoring system (like Fyllo Kairo) costs around ₹56,000*. Because these devices reduce fertilizer, chemical sprays, and water consumption, most farmers recover the full initial cost within a single crop season.

High-value horticulture and commercial crops benefit the most from IoT-enabled precision farming, particularly grapes, pomegranate, citrus, tomato, chilli, mango, apple, banana, and sugarcane. Fyllo's platform supports over 35+ crops across India with crop-specific agronomical algorithms that tailor advice to the specific crop variety and growth stage.

Yes, Fyllo is highly worth it for smallholder farmers (growing 2–5 acres) of high-value crops because every farm decision has an outsized impact on their livelihood. A single misjudged irrigation or a delayed chemical spray can wipe out an entire season's yield. By saving up to 33% water, reducing fertilizer cost by 20%, and saving 25% on chemical sprays, the device usually pays for itself in the very first season.

Active soil sensors send high-frequency electromagnetic signals to measure the soil's dielectric constant, while passive soil sensors read electrical resistance or tension. Active sensors (like SWR or FDR probes) are far more accurate and durable because they have no exposed metal contacts that degrade, rust, or react with fertilizers in the soil.

IoT weather stations help in pest management by continuously tracking microclimate indicators like relative humidity, leaf wetness, and canopy temperature. Fungal spores and insect eggs only hatch and infect when specific humidity and temperature thresholds are maintained for consecutive hours. By capturing this data, agritech platforms can predict disease outbreaks up to 3 days in advance, allowing preventative sprays.

Smart irrigation saves water by monitoring soil moisture tension directly at the plant's active root depth, ensuring watering occurs only when the plant is experiencing moisture stress. This prevents the traditional practice of calendar-based over-watering, saving up to 30% to 40% of irrigation water and significantly reducing electricity consumption for water pumps.

Precision agriculture monitors a combination of soil, weather, and crop parameters. These include soil moisture at multiple depths, soil temperature, canopy air temperature, relative humidity, atmospheric pressure, leaf wetness, light intensity (Lux), UV index, wind speed, wind direction, and rain volume.

AI provides crop disease diagnosis by combining computer vision (analyzing photographs of infected leaves) with real-time microclimate history from farm sensors. Cross-referencing visual symptoms with temperature, leaf wetness, and humidity records makes the AI's diagnosis contextually grounded and highly accurate compared to simple photo-recognition apps.

Standard satellite forecasting is often too coarse (covering 50-100 km regions) to be useful for individual farms. However, hyper-local forecasting models (like Fyllo's DeepMet-1) process high-resolution INSAT satellite imagery combined with real-time ground observations from local IoT weather stations, producing highly accurate 10 km grid resolution forecasts with 6-hour lead times.