Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the agriculture sector. This time, you get to discover 5 hand-picked machine learning startups impacting agriculture.
Out of 164, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Agriculture
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 164 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 agritech startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 159 machine learning solutions for agriculture, get in touch.
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Visual Farms enables ML-based Crop Yield Modeling
Founding Year: 2018
Location: Fort Collins, US
Partner for: Crop Yield Forecasting
US-based startup Visual Farms creates machine learning systems for farms to improve profitability and sustainability. Its ML systems allow farms to access thousands of trials testing and hundreds of unique corn varieties within their farm’s local agro-ecosystem. Moreover, the system provides real-time, in-season monitoring of crop cycles, simulation of crop production, alerts for pests and threats to crops, and more. Due to climate change, pests, and other factors that stress crops, it is becoming increasingly challenging for farm owners and operators to accurately estimate yields. The ML solutions from Visual Farms enable the agricultural industry to overcome this challenge while improving the profitability and sustainability of their farm operations.
plantOS develops an ML Platform for Precision Agriculture
Founding Year: 2016
Location: Kuala Lumpur, Malaysia
Partner for: Big Data & Analytics for Agriculture
Malaysian startup plantOS develops mobile and web-based platforms for indoor crop farm management. The eponymous system, plantOS, consists of a set of environmental sensors and an ML-powered platform for advanced analytics. The algorithms are trained to perform object recognition and multispectral image analysis for crop performance in real-time. The results of the analysis of crop data are displayed on a web-based dashboard, allowing it to be viewed from anywhere at any time. The agricultural industry is increasingly using indoor and vertical farming because of benefits arising from consistent climate and environment control. plantOS applies ML to the vast amounts of farm data from sensors to further increase crop production.
Aquabyte provides a Cloud-based Aquaculture Platform
Founding Year: 2017
Location: Bergen, Norway
Partner for: Fish Health Monitoring
Norwegian startup Aquabyte applies machine learning with computer vision to improve the efficiency of fish farming. The startup’s product package consists of camera equipment, a cloud-based ML system for image analysis, and a web-based decision-making framework. The system performs automatic lice counting and fish weighing which is continuously monitored using computer vision and machine learning with a high degree of accuracy. Today, aquaculture is a rapidly growing industry thanks to its positive effect in tackling the global food deficit. Aquabyte’s solution provides large-scale aqua farm managers and operators with an accurate and quantifiable method to track the performance of their preventative measures and receive early warning of disease indicators.
Seed-X offers a Deep-Learning Seed Analysis Platform
Founding Year: 2016
Location: Magshimim, Israel
Partner for: Seed Gene Identification
Israeli startup Seed-X creates an advanced computer vision platform to perform the genetic analysis and testing of seeds. The platform’s AI-powered seed-level phenotyping solution uses proprietary deep-learning algorithms and image classification to identify genetic traits. The seed phenotyping data is modeled and analyzed in the cloud using the startup’s proprietary GeNee technology. Nowadays, agronomists are constantly identifying and breeding new beneficial traits of crops to ensure that the agricultural industry is able to keep up with rising global demand. Such processes are highly expensive and often take years to develop. Through the use of machine learning platforms, Seed-X provides the capability to economically and rapidly produce crops with desirable traits.
Manuvo Technologies uses Machine learning on Satellite Images for Farmers
Founding Year: 2020
Location: Berlin, Germany
Partner for: Farm Monitoring, Harvest Optimization
German startup Manuvo Technologies develops a satellite imagery and machine learning-powered mobile app. Their application uses images from the publicly accessible Sentinel-2 satellite and applies algorithms to monitor the performance of farms and crops. The insights gained from the processed images allow farmers to optimize procedures such as the application of fertilizer, irrigation, pesticides, herbicides, and more. Most aerial farm monitoring solutions today access data from private satellites and are not mobile-friendly, making them uneconomical for farmers in developing regions. These factors are overcome using the Manuvo Technologies’ app, which improves the sustainability and efficiency of farming in developing countries.
Discover more AgriTech Startups
AgriTech startups such as the examples highlighted in this report focus on soil mapping, yield monitoring, and gene editing. While all of these technologies play a major role in advancing the agricultural industry, they only represent the tip of the iceberg. To explore more agricultural technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free AgriTech Innovation Report to save your time and improve strategic decision-making.
