Every acre of soil, every weather pattern, every crop canopy, every livestock herd generates data that tells the story of what is happening now and what will happen next. Terranova reads every signal — from satellite imagery to soil sensors to market prices — and translates it into decisions that grow more food with fewer resources on a warming planet.
Farming is the oldest profession — and the most consequential. It feeds civilization. But the challenges facing agriculture today are unprecedented: a warming climate that rewrites growing seasons, water scarcity that threatens irrigation, soil degradation that erodes yields, labor shortages that leave crops unharvested, and a global population that demands 60% more food by 2050. The traditional approach — farm harder, use more inputs, bring more land under cultivation — has reached its limits. The future of agriculture is not about doing more. It is about knowing more.
Terranova is the intelligence platform that transforms agriculture from intuition-based to data-driven. It integrates satellite imagery, IoT sensor networks, weather modeling, soil analytics, drone surveillance, market data, and machine learning into a unified decision platform that tells every farmer, every agronomist, every supply chain manager exactly what is happening on every acre — and what to do about it.
Terranova provides decision intelligence across the entire agricultural cycle.
Terranova integrates satellite, sensor, weather, and market data into actionable intelligence for every agricultural decision.
Crop diseases and pest infestations cause 20-40% of global crop losses annually — and by the time symptoms are visible to the human eye, significant damage has already occurred. Terranova combines multispectral satellite imagery (tracking vegetation indices across every field every 3-5 days), drone-based high-resolution scouting (identifying individual plant stress patterns), and IoT sensor data (microclimate conditions that favor disease development) into an early warning system that detects crop health threats 7-14 days before they become visually apparent. The system recommends targeted intervention — specific pesticide applications on specific zones, not blanket spraying — reducing chemical use while improving efficacy.
Soil is not uniform — nutrient levels, pH, organic matter, and moisture capacity vary dramatically within a single field. Terranova combines soil sampling data, remote sensing indices, yield history maps, and machine learning to create high-resolution soil health models for every zone of every field. The system generates variable-rate fertilization prescriptions that apply the right nutrients, at the right rate, in the right place — eliminating both under-application (which limits yield) and over-application (which wastes money and pollutes waterways). Long-term soil carbon tracking supports sustainability reporting and carbon credit programs.
Water is agriculture's most precious and most wasted resource. Traditional irrigation applies water on a calendar schedule — regardless of whether the soil needs it. Terranova integrates real-time soil moisture sensor data, evapotranspiration calculations, weather forecast models, and crop-specific water demand curves to schedule irrigation with precision: applying the right amount of water, at the right time, to the right zone of each field. In water-scarce regions, this can reduce irrigation water use by up to 50% while maintaining or improving yields — turning water scarcity from a crisis into a manageable constraint.
Knowing your yield before harvest is the foundation of agricultural business planning — yet most operations estimate yield based on historical averages and gut feel. Terranova combines satellite vegetation indices, weather data, soil moisture, historical yield maps, and crop growth models to predict field-level yields 45 days before harvest with 92% accuracy. This enables precise logistics planning (labor, equipment, transport), storage allocation, forward contract positioning, and optimal harvest timing based on crop maturity, weather windows, and market pricing.
Weather is the single largest uncontrollable variable in agriculture — but it is increasingly predictable. Terranova provides hyperlocal weather modeling at the field level, extending forecast accuracy 3-5 days beyond standard meteorological services. The system predicts frost events, heat stress windows, precipitation timing, and extreme weather risks, enabling proactive management decisions: early harvest before a storm, irrigation deferral before rain, frost protection deployment before freeze. For long-term planning, climate adaptation models recommend crop selection, planting date adjustments, and infrastructure investments that build resilience to shifting climate patterns.
Livestock management generates enormous data — activity levels, rumination patterns, feed intake, body temperature, milk production, weight gain, and reproductive cycles — that tells the story of each animal's health and productivity. Terranova integrates collar sensors, camera-based behavior monitoring, feed management systems, and veterinary records into a unified livestock intelligence platform. The system detects illness 2-3 days before clinical signs appear (through activity and rumination changes), predicts optimal breeding timing, optimizes feed rations for individual animal needs, and tracks welfare metrics for compliance and certification.
The agricultural supply chain loses 30-40% of food production between farm gate and consumer plate — to spoilage, logistics failures, market timing errors, and quality degradation. Terranova provides end-to-end supply chain intelligence: yield-based production forecasting for procurement planning, cold chain monitoring for perishable logistics, market price prediction for optimal sale timing, and blockchain-based traceability that tracks every product from seed to shelf. The system enables retailers and food processors to plan procurement with confidence, reduce waste, and verify sustainability and provenance claims.
Agriculture is both a contributor to and a victim of climate change — and increasingly, it is expected to be part of the solution. Terranova monitors the carbon footprint of every agricultural operation: tracking emissions from fertilizer use, fuel consumption, livestock, and land management, while measuring carbon sequestration from cover cropping, no-till practices, and soil organic matter accumulation. The system generates audit-ready sustainability reports for ESG compliance, verifies carbon credit claims through satellite-validated practice monitoring, and recommends regenerative practices that improve both environmental performance and long-term productivity.
Results from our deployed agricultural programs.
Terranova was deployed across a 12,000-acre corn and soybean operation. Variable-rate seeding and fertilization prescriptions reduced input costs by $180K annually. Precision irrigation reduced water use 38% while maintaining yields. Yield prediction enabled optimal forward contract positioning, improving price realization 9%. Disease detection caught a soybean sudden death syndrome outbreak 10 days before visual symptoms, enabling targeted fungicide application that saved 2,200 acres. Total annual profit improvement: $1.4M.
A 4,800-head dairy operation deployed Terranova's livestock engine with collar sensors and feeding system integration. The system detected mastitis, lameness, and metabolic disorders 2-3 days before clinical signs, enabling earlier treatment with lower antibiotic use. Feed ration optimization improved milk yield per cow by 8%. Reproduction management improved conception rates from 34% to 48%. Veterinary costs dropped 22%. Annual economic impact: $2.1M.
A 340-farm cooperative deployed Terranova across its entire membership for yield forecasting, supply chain optimization, and market intelligence. Aggregate yield predictions enabled precise procurement planning for the cooperative's processing facilities, reducing raw material waste 24%. Market timing intelligence improved average sale prices 12%. Carbon tracking enabled 180 member farms to participate in a verified carbon credit program, generating $2.8M in additional revenue across the cooperative. Member satisfaction reached 94%.
My family has farmed this land for four generations. I know every hill, every draw, every wet spot. But Terranova showed me things about my own fields that I never saw. A soil variability pattern across my north forty that explained twenty years of inconsistent yields. A drainage problem on my east section that was costing me 12 bushels per acre. I'm a fourth-generation farmer and I'll tell you straight: the satellite sees things my boots never could.
The water savings alone justified the platform. We were irrigating on a calendar — every third day, same volume, every pivot. Terranova showed us that three of our fields needed 40% less water than we were applying, and two needed more at different growth stages. We cut water use 38%, our electric bill dropped $42,000, and our yields actually improved because we stopped drowning our roots in the vegetative stage. That's not technology for technology's sake. That's money in my pocket and water in the aquifer.
We manage 340 family farms. Before Terranova, every harvest was a logistics nightmare — we never knew how much grain was coming, when, or from which farms. Now we know yield estimates 45 days out. We pre-position trucks, schedule elevator capacity, and time our sales to market windows. Our members earned 12% more per bushel last year through better market timing alone. The cooperative has never been stronger.
Schedule a demonstration of Terranova — configured for your crops, your acreage, your climate, and your market.