Hybrid Electric
Electric drive with hybrid energy architecture reduces fuel exposure and operating costs while enabling cleaner orchard operations.
HETA
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Platform
Why MTU35?
Three foundations that define the product: cleaner energy, intelligent operation, and engineering grounded in research.
AI Assisted Farming
Intelligent remote operation and perception today — with a clear path toward semi-autonomous control and fully autonomous AI farming.
Research Driven Engineering
Built on scientific research, engineering design, and real orchard field validation — not concept slides without evidence.
Experience
Interactive MTU35 Experience
Explore the machine systems in an interactive engineering stage — ready for a live GLB model and already connected to verified platform hotspots.
MTU35
3D viewer reserved
Drop a GLB at the configured model path to activate React Three Fiber.
Systems
Engineering Excellence
Designed, tested and validated for the future of sustainable agriculture.
HETA · Systems Map
Live schematic
Hybrid Electric System
Electric drive with hybrid energy architecture for orchard operations.
Remote Control
Operator command from a distance for safer, more flexible missions.
RTK GPS Navigation
High-precision positioning for guided orchard navigation.
AI Vision
YOLO-based perception for object and obstacle awareness.
IoT Connectivity
LoRa and 4G links for telemetry, sensing, and fleet software.
Modular Design
Architecture built for iteration, serviceability, and platform growth.
Problem
Agriculture needs a new operating system
Conventional machinery and disconnected tools cannot meet the demands of sustainable, high-productivity farming.
Labor pressure
Skilled operators are increasingly scarce across productive agricultural regions.
Energy exposure
Diesel-dependent fleets remain tied to fuel volatility and rising operating costs.
Precision gap
Without guidance intelligence, overlap, waste, and limited field visibility persist.
Solution
MTU35 — machine and platform as one
A small hybrid electric tractor for orchard farming, paired with a digital command layer for missions, sensing, and intelligent perception.
Hybrid electric
Electric drive with hybrid energy architecture for field operations.
Remote & semi-autonomous
Operator control today — fully autonomous AI tractor roadmap.
Digital farming
Fleet software for telemetry, missions, cameras, sensors, and AI detections.
Stack
Technology Stack
The MTU35 technology ecosystem — mechanical, electrical, embedded, AI, navigation, communication, and cloud — structured for continuous expansion.
Ecosystem map · select a node
Category
Mechanical
Compact orchard platform structure and modular machine architecture.
3 technologies
Orchard Chassis
PrototypeCompact structural layout designed for narrow orchard operations.
Modular Mounting
PrototypeServiceable mounting points for power, sensing, and implement interfaces.
Operator Canopy
PrototypeOpen-cabin canopy architecture for visibility and operator access.
Validation
Field Validation
Evidence-driven path from engineering design to orchard trials. Photos, videos, metrics, documents, and research references load from the validation data vault.
ValidatedCompletedJizzakh Region orchard trials
Field Testing
Real orchard trials in Jizzakh Region, Uzbekistan. Plowing operations performed successfully under real farming conditions.
Download dissertation sectionFuture · PDF upload pending — link activates when the research vault file is published.
Comparison charts
Architecture ready for before/after, fuel, cost, productivity, energy, and accuracy — populate series in `content/validation/charts.ts`.
Before vs After
ReservedReserved for dissertation / field comparison figures.
Fuel Consumption
ReservedNumeric series pending dissertation extraction.
Operating Cost
ReservedNumeric series pending approved financial / field data.
Productivity
ReservedNumeric series pending field performance extraction.
Energy Consumption
ReservedNumeric series pending energy analysis extraction.
Accuracy
ReservedRTK / navigation accuracy pending dissertation extraction.
Science
Research & Innovation
Scientific backbone of MTU35 — dissertation, publications, patents, conferences, engineering improvements, and future research.
Impact
Proven Through Engineering
The MTU35 platform is being developed through engineering design, prototype development, and field validation.
Pending Extraction
Fuel Efficiency
Pendingextract
Fuel and hybrid energy performance will publish from dissertation measurements — not estimated here.
Before/after fuel series reserved for verified figures.
Awaiting dissertation extraction.
Ref · REF-FUEL-01
Dissertation — energy / fuel performance section
Download fuel evidenceFuturePending Extraction
Operating Cost
Pendingextract
Operating cost impact will be published only from approved financial and field evidence packs.
Before vs after comparison reserved for verified figures.
Ref · REF-COST-01
Field economics appendix — pending
Download cost evidenceFutureResearch Based
Productivity
Pendingextract
Productivity metrics will be linked to measured orchard task outcomes after scientific extraction.
Productivity comparison — chart reserved
Ref · REF-PROD-01
Dissertation — operational performance section
Download productivity evidenceFutureResearch Based
Navigation Accuracy
PendingRTK
RTK GPS accuracy figures publish from dissertation navigation results — never invented.
Accuracy comparison — chart reserved
Ref · REF-NAV-01
Dissertation — RTK / navigation accuracy
Download navigation evidenceFuturePrototype Verified
Battery Runtime
Pendingextract
Battery runtime and duty-cycle endurance await verified energy testing extraction.
Ref · REF-BAT-01
Energy system evaluation — pending extraction
Download battery evidenceFuturePrototype Verified
Remote Range
Pendingextract
Remote control effective range will be published from confirmed test protocols and research notes.
Ref · REF-RC-01
Remote control system chapter
Download remote-control evidenceFutureResearch Based
Research Outputs
0core thesis
PhD dissertation in progress at TIIAME NRU anchors scientific claims for the MTU35 platform.
Ref · REF-SCI-01
Akbarali Turdiyev — Development of a Remote Control System for a Small Hybrid Electric Tractor in Orchard Farming (2026)
Download dissertation PDFFuture- — Numeric KPIs remain pending until extracted from the PhD dissertation and approved research reports.
- — Qualitative field outcomes (Jizzakh Region orchard trials, successful plowing) are confirmed separately in Field Validation.
Investors
Investment Opportunity
Deep-tech AgriTech from Uzbekistan — research-backed engineering, a working prototype, and a path toward intelligent sustainable farming platforms.
Why Invest in MTU35
Research-Based Innovation
PhD research at TIIAME NRU anchors technical credibility. Scientific claims wait for dissertation evidence — never invented.
Working Prototype
A compact hybrid electric orchard tractor with remote and semi-autonomous capability — already assembled and field-exercised.
Growing Market
Expansion path from Central Asia outward — farmers, orchard owners, agri companies, government, and research institutions.
Sustainable Agriculture
Mission alignment around lower operating burden, cleaner operations, higher productivity, and digital farming.
Future AI Platform
YOLO-based perception today with a clear roadmap toward navigation AI and a future SaaS fleet layer.
Interactive roadmap
2026In focus
Validation
Field validation and dissertation-centered performance analysis. Numeric KPIs publish only after extraction.
Investor documents
- Pitch deckPending approved investor version.
- Investor one-pagerReserved for committee-ready summary.
- Technical briefNo invented specs — publish after verification.
This section contains no financial projections, valuations, or traction metrics. Investor materials appear only when approved documents are published.
Team
11 engineers building the future of orchard machinery
The MTU35 platform is built by a multidisciplinary engineering team. Full names, portraits, and profiles publish when approved.
Photo reserved
Akbarali Turdiyev
PhD Research Author · Lead Researcher
Author of the PhD dissertation on the remote control system for a small hybrid electric tractor in orchard farming at TIIAME NRU. Scientific source of truth for MTU35 technical claims.
Research
- — Remote control systems for orchard machinery
- — Hybrid electric tractor architecture
- — Field validation methodology
Publications
- — Development of a Remote Control System for a Small Hybrid Electric Tractor in Orchard Farming (PhD Dissertation, TIIAME NRU, 2026)
LinkedIn — pending
Portrait pending
Engineering Member 02
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 03
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 04
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 05
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 06
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 07
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 08
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 09
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 10
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Portrait pending
Engineering Member 11
Role pending approval
Team profile will be published when the official roster and photograph are approved.
LinkedIn — pending
Contact
Start a conversation
For investors, partners, research institutions, and government programs. Forms are production-validated and ready for backend delivery.
Contact form
Tell us how we can help. Required fields are validated before submit.
Direct
Email
Contact email — to be confirmed
Phone
Contact phone — to be confirmed
Address
Tashkent, Republic of Uzbekistan
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Location
Tashkent, Republic of Uzbekistan