10 Top Smart Farming Solutions to Watch in 2026

Executive Summary: Which are the Top 10 Smart Farming Solutions to Watch?

1. CropGen (India) – Uses satellite analytics and crop indices like NDVI and SAVI to detect stress, optimize nutrients, and guide precision farming decisions.
2. Yiieldy (Nigeria) – Develops an AI-driven poultry farming app that automates feeding plans, tracks herd health, and boosts egg and meat production efficiency.
3. CowTech (Italy) – Offers sensor-based livestock analytics with AI to predict heat cycles, track cattle health, and improve dairy farming productivity.
4. Spectrick (Netherlands) – Builds dual-laser photonic sensors to detect ammonia and methane in greenhouses for gas yield optimization and sustainability.
5. Finally Foods (Israel) – Engineers plant-based cheese by embedding casein proteins in crops using AI-designed genetic structures for sustainable dairy alternatives.
6. Upside Robotics (US) – Creates autonomous fertilization robots that reduce chemical overuse and offset runoff through precision field operations.
7. Sami Agtech (Canada) – Manufactures large, semi-autonomous AI robots with 12 arms and computer vision for rapid and selective harvesting of produce.
8. Terensis (Switzerland) – Offers a geospatial platform using satellite and GLAI data to forecast crop yields up to 6 months ahead at regional and field scales.
9. Agromai (Brazil) – Delivers an AI-based risk-assessment tool that analyzes soil, climate, and crop data to generate risk scores for farming investments.
10. Sharpsat (Germany) – Provides satellite imagery and ML-powered disease detection maps to help vineyard managers prevent crop loss and cut input costs.

Global Startup Heat Map highlights Emerging Smart Farming Solutions to Watch

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends plus 150M+ patents, news articles & market reports, we identified 10 smart farming startups.

The Global Startup Heat Map below highlights emerging smart farming startups you should watch in 2026 as well as the geo-distribution of 7800+ startups & scaleups we analyzed for this research.

According to our data, we observe high startup activity in India and the UK, followed by the US. The top 5 startup hubs for smart farming solutions are Bangalore, London, San Francisco, Hyderabad, and Chennai.

Meet Emerging Smart Farming Startups to Watch in 2026

We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging smart farming startups work on solutions ranging from satellite-based crop health monitoring and AI-powered poultry management to autonomous fertilization robots and geospatial yield forecasting.

1. CropGen

• Founding Year: 2023
• Location: Pune, India
• Use For: Satellite Crop Health Analytics

Indian startup CropGen offers AI-powered satellite technology for its smart crop monitoring system. It uses proprietary crop health indices like normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and enhanced vegetation index (EVI).

These integrations support identifying stress zones, pests, and nutrient imbalances. CropGen’s Precision Agronomy System (PAS) employs over 20 parameters, such as soil health, weather patterns, and growth stages, to provide recommendations for any stage of a given growth cycle.

Further, CropGen uses soil moisture and temperature data to maintain optimal nitrogen, phosphorus, and potassium nutrient balance. It also operates hyper-local weather data and other soil and crop parameters to provide farmers with real-time insights for optimal decision-making.

2. Yiieldy

• Founding Year: 2024
• Location: Lagos, Nigeria
• Use For: Poultry Farming Efficiency App

Nigerian startup Yiieldy develops an app for poultry farmers. Its Fiidz app analyzes multiple data points like feed usage, growth rate, waste production, bird weight, and mortality, among others. The app serves four main functions. The feed quality & usage optimization feature suggests the optimal quantity and frequency of feeding for the best yields in meat and eggs.

AI Staff provides recommendations and tackles questions from farmers on any part of the process. Herds Management provides farmers with statistics about the entire poultry herd. This includes data on mortality rates and average weight gain.

Finally, Nutrient Control matches available local feedstock with different types of birds according to mutual fit. Fiidz provides farmers with an AI assistant that offers data-driven insights and decision-making recommendations and automates tasks like feed planning and bird health maintenance.

3. CowTech

• Founding Year: 2023
• Location: Naples, Italy
• Use For: Sensor-based Livestock Analytics

Italian startup CowTech offers livestock monitoring and management for bovine farmers. Its CowTech GO system combines proprietary sensors with ML analysis and a virtual AI assistant to track livestock behaviors and predict heat periods.

This allows dairy farmers to avoid delays in breeding and, consequently, in obtaining milk. CowTech GO also enables users to track cattle health, as well as farm sustainability and costs. It uses the Material UI design system to make sure that the insights are clear and actionable for non-tech-savvy farmers.

CowTech’s sensors are installed within minutes and come equipped with approximately 7 years of battery life. CowTech also promotes sustainable farming practices by reducing energy costs and resources needed for food production.

4. Spectrick

• Founding Year: 2023
• Location: Eindhoven, Netherlands
• Use For: Photonics Gas Yield Optimizer

Dutch startup Spectrik uses photonic gas sensing technology for greenhouse agriculture. The technology is based on strong lasers and long optical paths to calculate how much of the laser light is being absorbed by the gas molecules.

A photodetector (PD) acts as a receiving device and allows for an accurate measurement of gas concentration. Spectrik’s proprietary Dual-Laser Sensor uses two lasers for a more precise reading.

One laser serves as a reference to offset environmental effects on the measurements. Simultaneously, the second one excites light-absorbing molecules, which increases the temperature of the gas within its optical path.

Spectrik measures the temperature difference between two paths for a reading of the concentration of gas molecules. This improves sensitivity and is easily scalable. Dual-Laser Sensor lets farmers monitor gases like ammonia or methane to optimize yields and increase sustainability.

5. Finally Foods

• Founding Year: 2024
• Location: Rehovot, Israel
• Use For: Plant-based Cheese Production

Israeli startup Finally Foods creates a new way to produce cheese that would not require cattle. It genetically modifies plants by introducing casein into their protein structures.

First, AI is used to design protein structures and identify the optimal plant to ‘host’ them. Then, the modified plants act as bioreactors and grow the cattle protein until it is ready to be harvested. Further, Finally Foods processes the obtained protein in the same way as its standard animal-sourced counterpart.

Finally Foods produce cheese without the need for animal feed or producing gas emissions. Moreover, their plant-based approach requires less water than demanded by standard dairy production.

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6. Upside Robotics

• Founding Year: 2024
• Location: San Francisco, US
• Use For: Autonomous Fertilization Robots

US-based startup Upside Robotics develops lightweight autonomous robots for targeted fertilizer application.

Its robots are small enough to fit between corn rows and feature multiple sensors for crop monitoring. Each robot is equipped with a 44L tank and a 6-hour battery life. It covers approximately 1 acre of land per hour.

Upside Robotics’ selective fertilization ensures optimal spending of fertilizer expenses and helps prevent chemical overuse of land. Thus, it contributes to offsetting agricultural runoff, the main cause of water pollution.

7. Sami Agtech

• Founding Year: 2023
• Location: Quebec, Canada
• Use For: AI Robot for Harvesting

Canadian startup Sami AgTech builds heavy-duty robots for harvesting fruits and vegetables. Its Sami Robot is equipped with 12 robotic arms that can cut, harvest, and deposit individual vegetables or fruits within seconds.

It operates multiple cameras that employ computer vision and AI to identify produce on the ground. Sami Robot’s 12-to-6 meter size allows for simultaneous processing of up to 24 rows. Sami AgTech also offers customization of the robot’s dimensions based on the specific conditions required by its customers.

Moreover, Sami Robot is partly autonomous and is operated with a tablet from a 360-degree view cabin. The robo supports the farmers to maintain full control over the selective harvesting process and maintain its high throughput.

8. Terensis

• Founding Year: 2024
• Location: Winterthur, Switzerland
• Use For: Geospatial Crop Yield Forecasting

Swiss startup Terensis develops a digital platform that offers predictive insights into agricultural production. It uses geospatial data to predict crop yields up to 6 months in advance.

Terensis employs the Green Leaf Area Index (GLAI), which measures the one-sided area of green leaves per unit of ground area to evaluate growth success.

Terensis operates with global satellite inputs that allow it to provide forecasts on the scale of a given field or an entire region. It also analyzes data on agricultural investments to help businesses evaluate both prospective harvests and the feasibility of their agricultural portfolio.

9. Agromai

• Founding Year: 2023
• Location: Porto Alegre, Brazil
• Use For: Agricultural Risk-Assessment AI Model

Brazilian startup Agromai provides an AI-driven platform for agricultural risk assessment. It is trained on curated sets of agricultural data to deliver insights across different data points.

These include crop type, soil health, climate data, and nitrogen levels. Agromai combines risk-identifying data analysis with a dynamic map view of the client’s land. This assists farmers in identifying irregular plantings or unused areas.

As a result of analyzing a given agricultural project, Agromai provides a risk score that takes into account harvest prospects along with market demands. This lets farmers align their operations for enhanced success rates.

10. Sharpsat

• Founding Year: 2023
• Location: Bremen, Germany
• Use For: Vineyard Disease Prediction Tool

German startup Sharpsat provides a satellite-powered platform for vineyard health monitoring. It uses high-resolution satellite imagery and a proprietary machine learning algorithm to detect plant stress and diseases. The system generates interactive maps equipped with indicators like plant health, hydration levels, and signs of mildew.

Depending on where different parts of the vineyard fall on these spectrums, winemakers are able to react with timely preventive measures. Sharpsat’s insights also benefit growers by avoiding any unnecessary interventions. This reduces operational costs and improves sustainability in vineyard management.

Discover All Emerging AgriTech Startups

The AgriTech startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free AgriTech Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!