Predict pests before they arrive, optimize every drop of water, detect diseases in your crops with a photo, and have a virtual agronomist available 24/7 on your WhatsApp.
In agriculture, every day of delay in detecting a pest is hectares lost. Every liter of wasted water is cost that isn't recovered. Every unanswered consultation is a decision made blindly. Precision agriculture is not a luxury for large estates: it is the difference between surviving and disappearing for the average Ecuadorian farmer.
The farmer takes a photo of a leaf with spots and sends it via WhatsApp. AI identifies the disease, suggests specific treatment, and alerts if there's an outbreak in the area. Detects before it spreads.
IoT sensors measure soil moisture, temperature, and ET (evapotranspiration) in real time. The system irrigates only when and where needed, with exact amount. Saves up to 40% water and improves yield by 25%.
SomaAgent01 answers about planting, fertilization, harvest, market, and weather. Knows the agricultural calendar of each Ecuadorian zone, local varieties, and current market prices. An agronomist in every farmer's pocket.
AI vision system trained with thousands of images of Ecuadorian crops: banana, cacao, coffee, rice, corn, flowers, African palm. The farmer takes a photo of a leaf, fruit, or stem with symptoms and sends it via WhatsApp. The convolutional neural network identifies the disease or pest in 3 seconds with 94% accuracy: coffee rust, Panama disease in banana, monilia in cacao, thrips in flowers. The system suggests specific treatment (product, dosage, frequency), alerts MAG technicians if there's a regional outbreak, and schedules automatic follow-up. Detects problems at initial stage when treatment is cheaper and more effective.
IoT soil moisture sensors (capacitance) installed at 15cm, 30cm, and 45cm depth measure water content in real time. The system calculates reference evapotranspiration (ETo) using local weather station data and applies the FAO-56 model to determine exact water need by farm zone. Programs drip or sprinkler irrigation with optimal duration and frequency. Saves 35-45% water, reduces diseases from excess moisture by 30%, and improves yield by 20-30% through optimal water stress management.
Voyant integrates data from local weather stations, satellites (NASA POWER, CHIRPS for precipitation), and numerical forecast models to generate hyperlocal weather prediction per farm. Alerts about: frosts 48-72 hours in advance (critical for flowers and fruit trees at altitude), prolonged droughts 2-3 weeks in advance (allows adjusting irrigation and harvest), intense rains (alert to protect harvest and prevent erosion), and optimal planting/harvest windows based on rain projection. Reduces loss from weather events by 50%.
SomaAgent01 knows the agricultural calendar of each Ecuadorian zone (coast, highlands, jungle, Galapagos), local varieties of each crop, recommended practices by MAG, current prices in wholesale markets (Quito, Guayaquil, Cuenca wholesale markets), and export regulations (phytosanitary, traceability). A farmer asks: When do I plant corn in Cayambe? The system responds: Optimal window: October 15-30. Recommended varieties: INIAP-300 (high altitude). Current price: $0.42/kg. Alert: drought projected in November, supplemental irrigation recommended. The knowledge of a 20-year agronomist, instantly available.
Voyant analyzes crop maturity via sensors and AI vision, predicts harvest volume by lot, and optimizes harvest and transport planning. For export banana: predicts optimal harvest point (days since flowering) based on accumulated temperature, schedules collection by maturity order, and coordinates refrigerated transport to minimize farm-port time. Reduces post-harvest loss by 35% and improves export price by 15% through consistent quality.
Voyant generates agricultural risk reports for financial institutions: farm production history, average yield per hectare, historical climate risk, production prediction for next season, and credit amount and term recommendation. The farmer accesses financing based on real production data, not physical collateral. Financial institutions evaluate risk with 88% accuracy and can offer lower rates to reliable producers.
From the sensor in the soil to the farmer's decision, every layer powers production, savings, and sustainability.
The virtual agronomist: photo diagnosis, 24/7 advice, and connection with markets and regulations.
The field analyst: IoT sensors, weather prediction, smart irrigation, and harvest optimization.
The agricultural memory: every crop, every pest, every harvest, every market price, remembered forever.
The support line: voice assistance for farmers who prefer calling to texting.
The long-term memory: decades of climate patterns, pest cycles, and historical best practices.
We install soil moisture sensors, weather station, and monitoring cameras at strategic points on the farm. Configure LoRaWAN or cellular connectivity depending on coverage. All ready in 3 days.
We calibrate sensors with soil samples from the farm. Train AI vision models with photos of specific crops from the zone. SomaAgent01 learns the local agricultural calendar and current market prices.
We activate official WhatsApp for the farm or cooperative. Farmers send photos, ask by voice, and receive automatic alerts. The web dashboard shows real-time sensor data for technicians and administrators.
Each season, Voyant learns from results: which predictions were accurate, which treatments worked best, which harvest times gave the best price. The system continuously improves with each productive cycle.
SomaTech Ecosystem
13 products. One vision.
Less loss from pests with early detection
Water savings with smart irrigation
Yield improvement through optimization
Less post-harvest loss
Photo diagnosis accuracy
Better export price through quality
The system suggests treatments that comply with Ecuadorian phytosanitary regulations and export market regulations (EU, US). Alerts about product restrictions in export destinations.
Complete record of planting, treatments, harvest, and distribution. Preparation for fair trade, organic, and export traceability certifications.
Precision irrigation reduces water consumption by 40%, complying with sustainability objectives and preparing for possible future agricultural water use regulations.
Farmers and cooperatives can trust an auditable system. No dark algorithms manipulating recommendation or diagnostic prices in favor of specific suppliers.
Jose has 5 hectares of coffee in Loja. On a Tuesday at 6 AM he notices yellowish spots on the leaves. He takes a photo and sends it via WhatsApp. In 3 seconds, AI identifies coffee rust at initial stage. Recommends: apply triazole fungicide at 0.5L/ha dose in the next 3 days. Alert: 3 neighboring farms reported rust this week, probable regional outbreak. Jose applies treatment on Wednesday. The pest is controlled at 5% of his crop. Without early alert, rust would have affected 60% of his plants in 2 weeks. He saved a $12,000 harvest by investing $180 in timely treatment.
The rice cooperative in Babahoyo installed moisture sensors on 80 hectares. Before, they irrigated 3 times per week by tradition. Now Voyant indicates: Sector A (clay soil): irrigate in 4 days, 45 minutes. Sector B (sandy soil): irrigate in 2 days, 30 minutes. Sector C (near river): no irrigation needed this week, natural moisture sufficient. During El Nino season, they saved 42% water while other producers lost crops to rationing. Their rice had 15% more yield from optimal water stress.
The banana estate in El Oro has 120 hectares. Voyant predicts that lot 7 will reach optimal harvest point (days 95-98 post-flowering) in 4 days, considering accumulated temperature over the last 30 days. Schedules harvest for Wednesday, refrigerated transport for Thursday, arrival at Guayaquil port on Friday. The banana arrives at port at exact export maturity point. Price: $8.20/box. If harvested 2 days earlier: $5.90/box (green, rejected). If 2 days later: $6.80/box (overripe). The $1.40/box difference x 50,000 boxes = $70,000 additional in a single harvest.
Doesn't depend on expensive licenses that only large estates can afford. The family farmer and small cooperative access the same technology as large exporters.
Each farm, each cooperative, each zone contributes data that improves models for everyone. Ecuadorian agricultural knowledge grows collectively, not staying in corporate silos.
Technology adapts to Ecuadorian crops, local climates, and national regulations. Not a generic system designed for corn in Iowa applied to coffee in Loja.
Team in Ecuador that understands the local agricultural calendar, Quito and Guayaquil markets, MAG regulations, and the reality of the Ecuadorian countryside.
Self-hosted
Download the code from GitHub. Deploy on your farm with Raspberry Pi or local server. No license costs per hectare or per consultation. Ideal for cooperatives with basic technical staff.
Download from GitHubManaged
Complete implementation with sensor installation, AI vision model calibration, traceability system integration, agricultural technician training, and support during critical seasons (planting, harvest). Price on request.
Contact SalesBook a 2-hour technical visit. We evaluate your crops and present a monitoring and agricultural advisory plan with AI, no commitment.
