Top 50 Crop Analytics - Series B

The startup offers an AI-powered crop analytics platform that utilizes computer vision and deep learning algorithms to detect early symptoms of agricultural issues such as weeds, nutrient deficiencies, and pest infestations. By providing farmers with precise insights, the platform enhances decision-making and increases crop yields.

IntelinAir provides aerial imagery analytics through its AGMRI platform, enabling farmers to monitor crop health, nitrogen levels, and other key production variables with high-resolution imagery and regular alerts. This technology allows for data-driven management decisions, improving yield potential and optimizing resource use throughout the growing season.

Taranis provides a cloud‑native crop intelligence platform that combines sub‑millimeter drone imagery with deep‑learning models to deliver leaf‑level detection of weeds, diseases, insect damage, and nutrient deficiencies across entire farms. The system generates real‑time alerts and prescriptive agronomic recommendations via its Ag Assistant™ AI engine, accessible through web and mobile dashboards, allowing agronomy advisors to scale scouting and improve yield outcomes.

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.

Hydrosat utilizes thermal infrared satellite technology and proprietary algorithms to provide field-level and regional analytics for irrigation and crop management. The company helps governments and farmers optimize water usage while increasing crop yields across millions of hectares globally.

The startup develops an agricultural intelligence platform that employs artificial intelligence to predict pest and disease threats on a per-plot basis and assess crop emergence for optimal growth. By providing real-time plant stand counts and insights into yield health, the platform enhances decision-making for farmers, improving crop management and sustainability.

IUNU develops the LUNA platform, which utilizes machine vision and AI to automate data collection and provide real-time insights on crop health and growth cycles in greenhouse operations. This technology enables growers to detect issues early, optimize production strategies, and improve yield while significantly reducing manual labor and operational inefficiencies.

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.

InnerPlant develops genetically engineered crops that emit optical signals to indicate stress from pathogens, nutrient deficiencies, or drought. This technology enables farmers to receive real-time, actionable insights, enhancing agricultural productivity and sustainability while reducing reliance on pesticides and waste.

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.

The startup develops microbiome technology that utilizes DNA sequencing and intelligent computing to analyze soil ecosystems and provide crop-specific insights. This technology enhances agricultural production and quality by delivering data-driven recommendations for growers and manufacturers.

Develops affordable hyperspectral imaging cameras that capture spectral data at video rates, enabling applications in agriculture, healthcare, remote sensing, and colorimetry. These systems provide detailed insights beyond visible light, improving decision-making by revealing hidden information such as crop health, tissue types, and product appearance under varying lighting conditions.

Fieldin provides a smart farm control center that gives specialty crop growers visibility across all field operations. Their platform integrates data from tractors, implements, operators, and in-field sensors into a user-friendly dashboard, providing actionable insights to improve production, transparency, and efficiency. Fieldin's tools include smart spraying, scouting, and harvest tracking modules to help growers become data-driven operations.

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.

Provides an AI-powered platform that uses drones, satellites, and light aircraft to collect and analyze per-tree data across millions of trees, enabling precision agriculture and forestry management. The platform optimizes operations by offering tools for pest management, yield forecasting, asset tracking, and GIS mapping, improving efficiency, reducing costs, and increasing yields by up to 20% for agribusinesses.

BeeHero provides a precision pollination platform that utilizes real-time monitoring and data analytics to track bee activity and optimize pollination efficiency in agricultural crops. By managing over 300,000 hives globally and collecting more than 25 million data points daily, BeeHero enhances crop yields and ensures accountability for growers' investments in pollination services.

Leaf Agriculture offers a unified farm data API that consolidates agricultural data from multiple sources, enabling farmers to make informed decisions based on real-time insights. This technology addresses the issue of fragmented data management, enhancing operational efficiency and increasing crop yields.

EarthOptics provides a cloud-based machine learning platform that generates high-resolution soil data maps, including metrics for compaction, carbon, moisture, and nutrients, using fewer samples than traditional methods. This technology enables growers and ranchers to enhance crop yields and assess land value at a significantly lower cost, addressing the need for accurate soil management insights.

The startup offers a mobile‑first platform that connects smallholder farmers with certified inputs, lab‑grade soil testing, and AI‑driven yield forecasts. It provides real‑time agronomic recommendations, a marketplace for selling harvests, and embedded credit and insurance products, all synchronized to farm dashboards.

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.

This startup provides agricultural insurance services that utilize machine learning and weather data analytics to help smallholder farmers manage climate risks. By implementing crop cut experiments and analyzing farm loss data, the company enables farmers to enhance their agricultural practices and increase their income stability.

Growers Edge utilizes data analytics to provide risk management solutions tailored for agricultural stakeholders, including crop plan warranties and input financing tools. These offerings enhance product adoption and streamline financing processes, addressing the challenges of innovation uptake and financial accessibility in the agriculture sector.

Precision AI develops autonomous UAV technology for crop protection, utilizing AI to detect herbicide-resistant weeds and optimize pesticide application. This approach reduces chemical usage and operational costs, enhancing farm profitability and sustainability.

Provides a blockchain-based platform that integrates AI, IoT, and satellite technology to help smallholder farmers optimize operations, improve crop yields, and ensure compliance with regulations like the EU's deforestation law. The system offers tools for farm management, livestock genetics tracking, supply chain transparency, and access to decentralized finance (CeDeFi) services, enabling farmers to increase profitability and sustainability.

Inevitable develops Clean Propagation technology that enhances plant health and maximizes yields by providing data-driven insights tailored to specific growing environments. This approach helps farmers of all types reduce waste and increase productivity, addressing the challenges of food demand and climate change.

The startup operates a soil analytics engine that utilizes proprietary soil DNA extraction and sequencing to quantify microbial populations and analyze soil chemistry. This technology provides farmers with precise soil insights, enabling them to optimize costs, manage risks, and maintain soil health as a valuable asset.

Seed-X utilizes AI-powered computer vision and deep learning algorithms to perform non-destructive seed-level phenotyping, enabling the identification of genetic traits and quality attributes without traditional testing methods. This technology enhances seed quality and purity while significantly reducing research costs and time to market for seed and food production.

The startup operates large-scale indoor and semi-indoor vertical farms that utilize artificial intelligence, data science, IoT, and automation to optimize the entire agricultural cycle from seed to harvest. By eliminating the need for synthetic enzymes and genetically modified organisms, the company enables sustainable crop production while enhancing yield and resource efficiency.

The startup develops an agriculture platform that utilizes agronomic machine learning, remote sensing, and mobile technology to provide farmers in emerging markets with access to credit, quality inputs, and tailored agronomic advice. This approach enhances farming efficiency and profitability by integrating advanced technologies into traditional agricultural practices.

Verdant develops the Sharpshooter Precision Application System, an AI-powered technology that weeds, thins, and fertilizes crops with millimeter precision. This system significantly reduces chemical input usage by over 96% and decreases hand weeding costs by an average of 65%, enhancing operational efficiency in high-density farming.

This startup develops agricultural robotic technology that utilizes artificial intelligence and computer vision to create precision sprayers capable of identifying diseased plants and weeds. By targeting only affected areas, the technology reduces weeding costs for cotton farmers and minimizes chemical residue on consumable crops.

Agrion Agrisolutions develops precision agriculture products that utilize advanced soil health monitoring and crop management technologies. The company addresses the challenges of declining soil fertility and inefficient resource use, enabling farmers to enhance yields and reduce input costs.

Enko Chem employs artificial intelligence and machine learning to develop crop protection products that minimize pesticide use while enhancing efficacy against pests and diseases. This approach addresses the urgent need for sustainable agricultural solutions by providing farmers with safer, more effective options that reduce environmental impact.

Greenlabs offers a digital agricultural platform, Farm Morning, that utilizes data analytics to enhance farm management and optimize supply chain operations in agriculture. By connecting over 900,000 farmers with food buyers and providing transparent pricing for agricultural inputs, the platform addresses inefficiencies in B2B distribution and reduces production costs for farmers.

FarmWise develops the Vulcan, a precision intra-row weeder and cultivator that utilizes advanced computer vision and machine learning to optimize weed removal across varying crop growth stages and field conditions. By enabling farmers to reduce operational costs by over $250 per acre and achieve up to 3 acres of coverage per hour, Vulcan enhances productivity and profitability in agricultural operations.

This startup utilizes precision breeding technologies, genomics, and machine learning to develop crops that replace sugar and artificial sweeteners. By enhancing the nutritional profile of food, the company aims to promote healthier eating habits without compromising taste.

Carbon Robotics develops the LaserWeeder, a robotic system that utilizes AI, deep learning, and high-precision lasers to identify and eliminate weeds with sub-millimeter accuracy. This technology significantly reduces labor costs and enhances crop yield by automating the weeding process, providing farmers with a reliable and efficient solution for weed management.

Provides a fully automated hydroponic indoor farming system that uses smart sensors, machine learning, and custom nutrient dosing to optimize plant growth. Enables users to grow up to 36 varieties of leafy greens and herbs year-round, reducing reliance on store-bought produce and minimizing plastic waste while delivering fresher, safer, and more nutritious ingredients.

This startup utilizes controlled environment agriculture (CEA) techniques, incorporating plant science, machine learning, and robotics to cultivate vegetables in greenhouses that are cost-competitive with traditional field farming. By providing a sustainable solution for year-round vegetable production, the company addresses the challenges of inconsistent crop quality and availability due to weather fluctuations.

Greeneye employs artificial intelligence and deep learning to enable selective herbicide application, significantly reducing chemical usage by up to 90% while targeting specific weed species. This technology addresses the widespread issue of herbicide resistance and environmental contamination caused by indiscriminate pesticide spraying in agriculture.

Tropic Biosciences develops high-performing tropical crop varieties using CRISPR gene editing and RNA interference to enhance disease resistance and reduce pesticide reliance. Their technology addresses the challenges of climate change and food security by improving the yield and resilience of staple crops like bananas, coffee, and rice.

Zordi is developing the world's first fully autonomous greenhouse, utilizing intelligent robotics to optimize the cultivation of sustainably grown fresh produce. This technology addresses the challenges of labor shortages and resource inefficiencies in agriculture, enabling higher yields and reduced environmental impact.

PowerPollen utilizes proprietary technology to collect, preserve, and apply pollen, enhancing cross-pollination for corn, rice, and wheat. This method increases seed yield by over 20%, providing significant economic benefits to producers while improving agricultural productivity and sustainability.

The startup operates fully automated vertical farms that utilize advanced agronomy, software, and engineering techniques to produce uniform, pharma-grade crops. This approach addresses the challenges of urbanization, food safety, and limited food access by providing reliable agricultural inputs to various industries.

The startup develops biomimetic peptides, biofertilizers, and bioherbicides that manipulate plant genetics to enhance agricultural yields. By utilizing micro-peptides and their influence on plant phenotypes, the company enables farmers to control germination rates, improve disease resistance, and accelerate flowering.

MoA Technology is developing a new generation of herbicides using proprietary data and AI-driven methods to enhance the discovery process of both synthetic and biological solutions. This approach addresses the issue of weed resistance, which threatens global food security and biodiversity, by providing farmers with effective and affordable tools to protect their crops.

Pixxel develops a constellation of hyperspectral imaging satellites that capture high-resolution Earth data across over 250 spectral bands, enabling the detection and monitoring of environmental threats that are invisible to conventional satellites. By providing detailed insights into agricultural health, pollution levels, and resource management, Pixxel empowers stakeholders to make informed decisions for climate action and sustainability.

NewLeaf Symbiotics utilizes pink-pigmented facultative methylotrophs (PPFMs) to enhance crop yield, nutrient use efficiency, and pest management, specifically targeting corn rootworm with its EPA-approved TS201 bioinsecticide. By integrating PPFMs into existing crop management practices, farmers can achieve measurable increases in yield, such as an average of 8.8 bushels per acre for corn.

The startup offers a land information platform that provides objective data on productivity, valuation, and sustainability for agricultural parcels across the U.S. This platform enables farmers and landowners to optimize investments and improve operational efficiency by delivering critical metrics in a centralized location.

ClimateAI provides an AI-powered climate resilience platform that utilizes patented machine learning models to analyze hyper-local climate and weather data, enabling businesses in the food and agriculture sectors to make informed operational decisions. The platform helps companies mitigate physical climate risks by delivering actionable insights and customizable dashboards, enhancing supply reliability and productivity.