Top 50 Crop Analytics in Europe

Develops a hyperspectral satellite constellation combined with AI-driven analytics to provide near-real-time global data on crop health, carbon sequestration, and environmental changes. This enables businesses, governments, and insurers to make informed decisions, optimize resource management, and improve risk assessment with sub-daily insights from 100 microsatellites by 2030.

OneSoil provides satellite-based crop monitoring and analysis tools that utilize the NDVI index to identify problem areas and optimize field management. This technology enables agricultural professionals to increase yields while reducing seed and fertilizer costs, ultimately enhancing profitability per hectare.

Hyperplan provides software that utilizes remote sensing data and AI to deliver real-time insights on agricultural production, including crop rotations and yield estimates. This solution addresses the volatility in crop production caused by climate change and market fluctuations, enabling food chain companies to make informed operational decisions and enhance sustainability efforts.

Elaniti utilizes machine learning and DNA sequencing to analyze soil biology, enhancing crop forecasts by integrating microbial data with traditional agricultural metrics. This approach improves forecast accuracy by up to 50%, enabling farmers to make informed decisions that optimize input use and support sustainable practices.

PerPlant develops AI-driven camera-based agronomic sensors for tractors and agricultural drones that optimize crop treatment by assessing real-time field conditions. This technology enables farmers to increase yields by up to 4% while reducing herbicide use by up to 87% and eliminating the need for time-consuming data management.

Permia Sensing provides precision agriculture technology that utilizes advanced sensor networks and data analytics to monitor soil health and crop conditions. This technology enables farmers to optimize resource usage and improve yield while minimizing environmental impact.

This agri-tech startup provides farmers with data analytics and precision agriculture tools to enhance crop and livestock management. By facilitating better decision-making and improving market access, the company addresses inefficiencies in agricultural productivity and buyer connections.

The startup develops an artificial intelligence and machine learning platform tailored for Norwegian farmers to enhance grain production through a specialized neural network model and crop classification system. By providing precise yield data and calculations in a centralized interface, the platform enables farmers to monitor crop growth and make informed decisions based on localized agricultural conditions.

xFarm Technologies offers a digital farm management platform that utilizes sensors and satellite data to optimize irrigation, crop protection, and resource management for farmers. By providing real-time monitoring and analytics, the platform enhances operational efficiency and sustainability across over 450,000 farms globally.

Gardin develops optical phenotyping technology that utilizes machine vision and proprietary optics to monitor plant health across various agricultural platforms. This technology enhances crop yield and quality while optimizing resource allocation and reducing production costs.

This startup develops an autonomous robot platform equipped with computer vision and machine learning to predict crop maturity and perform precision harvesting. By selectively harvesting labor-intensive crops, the technology minimizes damage and enhances local produce yield, ensuring freshness for farmers.

Provides a soil analysis system that uses GPS-enabled sensors to measure nutrient levels, pH, moisture, and temperature directly in the field, delivering results in seconds without the need for lab samples. This technology enables farmers to optimize nitrogen fertilizer application, reduce costs by up to 20%, and improve crop yields through precise, data-driven decisions.

Aurea Imaging provides precision orchard management solutions using drone technology, deep learning, and sensor data to monitor individual tree growth and health. This approach enhances crop uniformity and yield while minimizing resource inputs, addressing the variability and inefficiencies commonly found in traditional fruit farming.

BX is an environmental farm management software that collects and analyzes field data to enhance crop management and improve yields while implementing sustainable practices. The platform enables farmers to monetize their environmental performance by generating carbon credits and transparently communicating their greenhouse gas emissions.

Weenat provides farmers with connected agro-meteorological sensors and a mobile application that deliver real-time weather data and soil moisture levels to optimize irrigation and protect crops. This technology enables farmers to make informed decisions based on precise environmental conditions, addressing the challenges of climate variability and resource management in agriculture.

Ecorobotix offers an AI‑driven ultra‑high‑precision field sprayer that uses real‑time computer vision and deep‑learning classification to identify crops and weeds and apply micro‑doses only where needed. The compact unit mounts on standard tractor PTO, reduces herbicide use by up to 95 % and provides georeferenced treatment data for analytics and compliance reporting.

Sencrop provides a connected agro-meteorological platform that utilizes local weather stations to deliver precise data on temperature, humidity, and soil conditions. This technology enables farmers to monitor weather patterns, anticipate frost risks, and optimize irrigation, ultimately improving crop protection and resource efficiency.

This biotechnology company leverages AI to predict complex agricultural traits, accelerating the development of high-yielding and climate-resilient crop varieties and animal breeds. Their platform enables breeders to quickly and cost-effectively predict traits across their livestock or germplasm, optimizing agricultural output.

Amaya is a digital platform that utilizes artificial intelligence to centralize farm data, enabling smallholder farmers to optimize productivity and manage resources effectively. By connecting farmers with agricultural advisors, financial institutions, and marketplaces, the platform enhances decision-making and improves access to tailored support, ultimately increasing crop yields and sustainability.

The startup develops a robotic farming system that integrates crop and soil monitoring with precision feeding and weeding technologies to enhance agricultural efficiency. By optimizing fertilizer application and minimizing chemical use, the system aims to increase farm outputs while reducing environmental impact.

Proofminder offers a leaf-level farming platform that provides 99%-accurate insights on individual plants, enabling growers to monitor crop health and optimize inputs. This technology helps farmers improve yield and quality while reducing chemical usage by up to 80%, ultimately enhancing sustainability and profitability.

The startup develops an agricultural crop monitoring system that utilizes sensors, artificial intelligence, and low-energy radio wireless technology to collect and analyze data on crop conditions. This system enables farmers to optimize production while minimizing water, energy, and fertilizer usage during the transition to sustainable farming practices.

Deep Planet utilizes satellite imagery and AI-driven analytics to optimize soil organic carbon management and nutrient application for vineyards and agricultural producers. This technology enhances grape yield and resilience against climate change, addressing the challenges of declining agricultural productivity and environmental sustainability.

Plantvoice® utilizes real-time sap analysis technology to monitor the health and stress levels of fruit plants, enabling farmers to optimize resource use such as water, fertilizers, and phytodrugs. This approach helps predict crop quality and maximize yield while reducing resource consumption by up to 40%.

This startup develops AI-based farming technology that utilizes proprietary sensors to gather field data and external project information. By providing farmers with actionable insights through predictive analytics, the platform enhances decision-making for healthier and more efficient agricultural practices.

Agrobit has developed iAgro, a mobile app that utilizes AI, AR, and digital twin technology to optimize agro-input management for farmers. The app enables precise decision-making regarding chemical treatments and water usage, enhancing crop health and resource efficiency.

Hexafarms provides a system that connects to existing climate computers and sensors in greenhouses and vertical farms, offering personalized optimization strategies based on real-time data analysis. This technology enhances production efficiency by delivering yield forecasts, resource consumption insights, and proactive measures against disease and pest outbreaks.

xarvio offers an AG intelligence platform that provides data-driven, field-specific recommendations for optimizing crop production. It helps farmers improve input efficiency and profitability through precise advice on nutrient application, seed selection, and crop protection.

This startup develops robotic technology that employs AI-based models to generate high-resolution images for agricultural research, focusing on specific species, crops, and weeds. By providing detailed visual data, the company enables farmers to effectively analyze agricultural challenges and enhance crop production practices.

GreenAnt provides a precision agriculture platform that uses IoT sensors and AI analytics to optimize irrigation and nutrient application. Its system delivers actionable insights for farmers to increase crop yields and reduce resource consumption.

Biographica utilizes biology-aware machine learning and high-throughput sequencing to identify and prioritize genetic targets for crop gene-editing, addressing the challenge of inefficient gene selection that often results in high costs and low success rates. By combining in silico modeling with in vivo validation, the platform enhances the precision of genomic modifications, enabling the development of more productive and climate-resilient crops.

Seabex provides precision irrigation management tools that utilize satellite imagery and real-time weather data to optimize water usage for various crops. By enabling farmers to make data-driven decisions, Seabex enhances crop yield and resource efficiency while reducing operational costs.

The startup develops an agrotechnology platform that utilizes sensors, drones, and data analytics to monitor crop health and optimize resource usage. This technology enhances food production efficiency and sustainability while minimizing environmental impact, enabling farmers to boost productivity and profitability.

Graniot develops precision agriculture tools that utilize advanced monitoring technologies to assess crop health and optimize resource usage. The company addresses inefficiencies in farming by providing real-time data analytics, enabling farmers to make informed decisions that enhance yield and reduce waste.

Alzagro develops automated grain-sampling drones that utilize advanced aerial imaging and data collection technologies to enhance precision agriculture. These drones provide farmers with accurate, real-time insights into crop health and soil conditions, improving yield management and resource allocation.

Agremo provides a cloud-based platform that utilizes AI, drone, and satellite imagery to deliver precise crop analytics, including plant health assessments, stand counts, and weed detection. This technology enables farmers and agronomists to make data-driven decisions, improving crop management and increasing yield while minimizing losses.

KisanHub offers a cloud‑native SaaS platform that unifies crop monitoring, inventory tracking, quality certification, and digital trade agreements for fresh‑produce supply chains. By ingesting satellite imagery, weather feeds, field observations and lab results, it provides real‑time dashboards, predictive analytics and API integrations that improve forecasting, reduce waste and ensure contract compliance.

This startup provides a B2B platform that employs artificial intelligence to predict optimal harvesting times and detect plant diseases without relying on IoT devices. By delivering precise crop forecasts, it enables farmers to improve yield efficiency and minimize losses due to disease.

Naturebound provides farmers with access to biodiversity data through advanced data analytics and visualization tools. This enables farmers to make informed decisions that enhance crop yields and promote sustainable agricultural practices.

HarvestAi develops machine learning and computer vision models to accurately predict harvest dates and yields for indoor farms, enhancing operational efficiency and profitability. By providing precise forecasts, the platform enables growers to optimize resource allocation and improve market alignment for crops like tomatoes and strawberries.

The startup develops precision farming technology that utilizes deep neural networks to quantify soil parameters without the need for on-site hardware or personnel. This approach enables agribusinesses to enhance crop yields, optimize resource usage, and lower agricultural emissions through accurate soil intelligence.

Sensonomic provides the Agribusiness Performance Platform (SAPP), which utilizes computer simulations and purpose-built analytics to enhance agricultural operations and optimize crop yields. By enabling growers to capture and analyze data, the platform helps increase profits by over 30% while improving resilience in the face of climate variability.

Nordetect develops portable analysis systems that utilize Lab-on-a-Chip technology and UV-VIS spectrophotometry to provide real-time nutrient analysis of irrigation water and soil. This enables Controlled Environment Agriculture farms to optimize fertilizer dosing, enhance crop health, and minimize waste by delivering instant insights into nutrient levels.

This startup provides high-resolution aerial imaging and data analytics to optimize crop management for agricultural producers. Their services offer insights into crop uniformity, irrigation, harvest planning, and disease mapping through advanced hyperspectral imaging.

Hiphen offers an AI-powered image analytics platform for high-throughput plant phenotyping, automating the precise measurement of plant traits. Their solution enables agricultural researchers to collect and analyze phenotypic data efficiently, accelerating crop management optimization and new product development.

SpaceCrop utilizes satellite data and artificial intelligence to optimize irrigation management and enhance crop resilience for farmers. By providing precise soil moisture insights and 14-day weather forecasts, the platform enables data-driven resource planning, reducing water usage and improving crop health.

Ground Truth Analytics utilizes artificial intelligence and diverse data sources to enhance agricultural practices, directly addressing global food security challenges. Their solutions provide measurable benefits to farmers, governments, producers, and financial institutions by optimizing resource allocation and improving crop yields.

Agrisky is a platform that utilizes artificial intelligence to monitor and optimize indoor greenhouse conditions, providing real-time data and smart notifications for abnormal values. It enables farmers to calculate their carbon and water footprints, generate customized sustainability reports, and improve crop health through disease identification, ultimately enhancing productivity and resource efficiency.

This startup offers a grain management platform that utilizes satellite imagery and machine learning to detect crop diseases and contamination. By providing real-time price comparisons and connecting buyers and sellers, farmers can make informed decisions to maximize their profits when selling grain.

This startup develops precision agriculture systems that utilize field-installed pest traps equipped with imaging technology to photograph, identify, and quantify parasitic insects. By providing real-time data transmission to smartphones and websites, farmers can effectively monitor crop health and manage pest control strategies.