Industry AI Adoption Leaderboard
Top AI-ready Agriculture, Forestry, Fishing and Hunting companies — 500 ranked
Ranked leaderboard of 500 Agriculture, Forestry, Fishing and Hunting companies by Meo AI adoption score.
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| # | Company | Stage | Key Opportunity | Location |
|---|---|---|---|---|
| 1 | sensei ag | Advanced | Optimize crop yield and resource efficiency through AI-driven predictive analytics for climate, lighting, and nutrient delivery in controlled environments. | santa monica, California |
| 2 | bowery farming | Moderate | Implementing computer vision and predictive AI to autonomously monitor plant health, optimize growth recipes, and dynamically adjust environmental controls for maximum yield and quality. | new york, New York |
| 3 | pureagro | Moderate | Implement AI-driven climate and nutrient optimization to increase crop yields and reduce resource waste in controlled environment agriculture. | los angeles, California |
| 4 | Miller Poultry | Moderate | Orland, Indiana | |
| 5 | Monterey Mushrooms | Moderate | Watsonville, California | |
| 6 | indigo | Moderate | Leverage the extensive grower network and agronomic data to build a predictive, AI-driven marketplace that optimizes grain pricing, logistics, and biological input recommendations in real time. | boston, Massachusetts |
| 7 | Park Seed | Moderate | Greenwood, South Carolina | |
| 8 | corteva agriscience | Moderate | AI-driven predictive modeling for crop yield optimization and disease resistance, leveraging vast genetic and field trial data to accelerate R&D and improve seed recommendations. | indianapolis, Indiana |
| 9 | Glass House Brands | Moderate | long beach, California | |
| 10 | Plenty | Moderate | South San Francisco, California | |
| 11 | Pete & Gerry's | Moderate | Monroe, New Hampshire | |
| 12 | Weaver Equine | Basic | mount hope, Ohio | |
| 13 | Hog Island Oyster Co. | Basic | san francisco, California | |
| 14 | Ecmhsp | Basic | Raleigh, North Carolina | |
| 15 | wiseconn | Basic | Leverage aggregated sensor data across thousands of farms to build predictive irrigation models that optimize water usage and crop yield, creating a data-driven subscription service. | fresno, California |
| 16 | brightfarms | Basic | Leverage computer vision and predictive analytics across its network of hydroponic greenhouses to optimize yield forecasting, automate pest/disease detection, and reduce food waste, directly improving margins in a low-margin fresh produce business. | irvington, New York |
| 17 | intelligent growth solutions (igs) americas | Basic | Deploy AI-driven crop yield prediction and resource optimization to reduce input costs and increase farm profitability. | loveland, Colorado |
| 18 | Sciex | Basic | Framingham, Massachusetts | |
| 19 | Green Giant Fresh | Basic | Salinas, California | |
| 20 | marz farms inc | Basic | AI-driven predictive analytics for crop yield optimization and resource allocation can significantly reduce water and energy costs while increasing output. | somis, California |
| 21 | galleria farms | Basic | Implementing computer vision and predictive analytics for real-time crop health monitoring, yield prediction, and automated climate control to optimize resource use and maximize output. | miami, Florida |
| 22 | dole food company | Basic | AI-powered predictive analytics can optimize the entire fresh produce supply chain, from yield forecasting and harvest timing to dynamic routing and shelf-life prediction, dramatically reducing waste and improving profitability. | charlotte, North Carolina |
| 23 | fall creek® | Basic | AI-powered predictive analytics for crop yield optimization and disease detection using drone imagery and IoT sensor data. | lowell, Oregon |
| 24 | fanjul corp. | Basic | AI-powered predictive analytics for crop yield, soil health, and resource optimization can dramatically reduce input costs and increase profitability for a large-scale farming operation. | west palm beach, Florida |
| 25 | national aquaculture group | naqua | Basic | AI-powered water quality monitoring and predictive health analytics can optimize feed efficiency, reduce mortality, and ensure consistent yield in large-scale aquaculture operations. | green street, Alabama |
| 26 | ag-pro companies | Basic | AI-powered precision agriculture platforms can optimize variable-rate seeding, fertilizer application, and irrigation, significantly boosting crop yields while reducing input costs and environmental impact. | boston, Georgia |
| 27 | kingdom fresh farms | Basic | Implementing computer vision and predictive analytics for yield optimization, disease detection, and automated harvesting in controlled-environment agriculture. | donna, Texas |
| 28 | yasheng group | Basic | AI-powered predictive analytics can optimize irrigation, fertilization, and harvest timing across vast acreage, significantly boosting yield and resource efficiency. | redwood city, California |
| 29 | sunrise srl seeds | Basic | Leveraging AI-driven genomic selection and predictive analytics to accelerate seed breeding programs and optimize crop yields. | east lansing, Michigan |
| 30 | urus group | Basic | AI-powered predictive analytics for herd health, milk yield optimization, and feed efficiency can directly boost productivity and reduce veterinary costs for a large-scale dairy operation. | madison, Wisconsin |
| 31 | freebird chicken | Basic | AI-powered predictive analytics can optimize feed formulation, bird health, and growth cycles to reduce mortality, improve feed conversion ratios, and enhance overall yield for premium products. | fredericksburg, Pennsylvania |
| 32 | raven europe | Basic | Deploying computer vision AI on field sensors and machinery to autonomously diagnose crop health issues and prescribe variable-rate treatments in real-time. | sioux falls, South Dakota |
| 33 | sensehub™ | Basic | AI-driven predictive analytics can optimize crop yields and resource allocation by synthesizing real-time data from soil sensors, satellite imagery, and weather forecasts. | rahway, New Jersey |
| 34 | costa farms | Basic | AI-powered computer vision systems can automate quality control and disease detection across millions of plants in greenhouses, dramatically reducing waste and labor costs. | miami, Florida |
| 35 | sanderson farms | Basic | AI-driven predictive analytics can optimize feed formulation, flock health, and supply chain logistics to significantly reduce costs and improve yield across their vertically integrated operations. | oakwood, Georgia |
| 36 | eurofresh inc. | Basic | Implementing AI-driven predictive climate and irrigation control can optimize crop yields, reduce resource waste, and enhance profitability in large-scale greenhouse operations. | , |
| 37 | soli organic | Basic | AI can optimize greenhouse climate control, irrigation, and nutrient delivery in real-time to maximize yield and quality while minimizing resource use and labor costs. | harrisonburg, Virginia |
| 38 | fieldtrue | Basic | FieldTrue can deploy AI-powered predictive models to analyze satellite, drone, and IoT sensor data, enabling farmers to optimize irrigation, fertilizer application, and predict pest outbreaks, directly boosting crop yields and resource efficiency. | west sacramento, California |
| 39 | gold kist inc. | Basic | AI-powered predictive analytics can optimize feed formulation, flock health, and processing schedules to reduce costs and improve yield across the integrated supply chain. | , |
| 40 | versova | Basic | AI-powered predictive analytics for animal health and feed optimization can significantly reduce mortality rates and input costs in large-scale hog farming operations. | galt, Iowa |
| 41 | valley agronomics, llc | Basic | AI-powered predictive analytics can optimize irrigation, fertilizer application, and pest control, significantly reducing input costs and increasing crop yields for a large-scale operation. | rupert, Idaho |
| 42 | big dutchman latin america | Basic | AI-powered predictive analytics for poultry health and environmental control can optimize feed conversion, reduce mortality, and automate climate management in barns. | charlotte, North Carolina |
| 43 | lipman family farms | Basic | AI-powered predictive analytics for yield optimization, disease detection, and harvest timing can significantly reduce waste and increase per-acre revenue. | immokalee, Florida |
| 44 | kapi kapi growers | Basic | AI-powered predictive analytics can optimize crop yield, resource use, and supply chain logistics by analyzing real-time data from sensors, weather, and market demand. | miami, Florida |
| 45 | zacky farms | Basic | AI-driven predictive analytics for flock health and feed optimization can significantly reduce mortality, improve feed conversion ratios, and boost overall yield. | , |
| 46 | Maple Leaf Farms Inc. | Basic | Leesburg, Indiana | |
| 47 | accelerated genetics | Basic | Leverage AI-driven genomic prediction models to accelerate genetic gains in dairy and beef cattle, improving selection accuracy and reducing generation intervals. | baraboo, Wisconsin |
| 48 | ambrics global banking | Basic | AI-powered predictive analytics for crop yield optimization and commodity price hedging can significantly boost margins and de-risk operations in volatile global markets. | new york, New York |
| 49 | dupont pioneer | Basic | AI-powered genomic prediction models can drastically accelerate the development of higher-yielding, climate-resilient hybrid seeds by analyzing complex trait genetics and environmental data. | johnston, Iowa |
| 50 | prima®️ wawona | Basic | AI-powered computer vision systems on harvesters and in packing houses can dramatically increase yield recovery, reduce labor costs, and improve fruit grading accuracy. | fresno, California |
| 51 | pine manor, inc. | Basic | Implementing computer vision AI for real-time monitoring of crop health and automated harvesting can dramatically reduce labor costs and increase yield consistency. | orland, Indiana |
| 52 | the modern greens | Basic | Implementing AI-driven computer vision systems for real-time plant health monitoring, disease detection, and yield prediction can optimize resource use and significantly reduce crop loss. | alabama shores, Alabama |
| 53 | southfresh aquaculture, llc | Basic | AI-driven feeding optimization and disease detection to improve yield, reduce feed costs, and prevent mass mortality events. | tuscaloosa, Alabama |
| 54 | naturesweet | Basic | AI-powered computer vision systems can optimize yield and quality by continuously monitoring plant health, fruit ripeness, and pest presence across vast greenhouse networks. | san antonio, Texas |
| 55 | driscoll's | Basic | AI-driven computer vision systems can automate the quality inspection and grading of berries on packing lines, dramatically increasing throughput, reducing labor costs, and ensuring consistent premium quality. | watsonville, California |
| 56 | 80 acres farms | Basic | Optimize crop yield and resource efficiency through AI-driven climate control and predictive analytics across its indoor farms. | hamilton, Ohio |
| 57 | pero family farms food company llc | Basic | AI-powered predictive analytics can optimize planting schedules, irrigation, and harvest timing to maximize yield and quality while minimizing water and resource waste. | delray beach, Florida |
| 58 | pinnacle™ agriculture | Basic | AI-powered predictive analytics for crop yield optimization and input management can significantly reduce costs and boost profitability across their extensive acreage. | loveland, Colorado |
| 59 | Gro Power, Inc. | Basic | Chino, California | |
| 60 | crystal valley | Basic | Leverage decades of member agronomic data to deploy a cooperative-wide predictive analytics platform that optimizes crop input prescriptions, yield forecasting, and supply chain logistics, directly increasing member profitability and cooperative efficiency. | mankato, Minnesota |
| 61 | limoneira company | Basic | Deploy AI-driven predictive analytics for water management and yield optimization across Limoneira's 11,000+ acres to reduce input costs and increase crop quality. | santa paula, California |
| 62 | vital farms | Basic | Leverage computer vision and predictive analytics across the pasture-raised supply chain to optimize flock health, egg grading, and demand forecasting, reducing waste and improving margin in a premium CPG segment. | austin, Texas |
| 63 | stemilt growers | Basic | AI-powered predictive analytics for yield forecasting, harvest timing, and supply chain logistics can dramatically reduce waste and optimize revenue from a highly perishable product. | wenatchee, Washington |
| 64 | cannapharm technology | Basic | Deploying AI-driven environmental controls and computer vision across indoor cultivation facilities can optimize cannabinoid yields and reduce energy costs by up to 25%. | torrance, California |
| 65 | ab neo | Basic | Leverage computer vision and IoT sensor fusion for automated crop monitoring and precision irrigation to reduce water usage and increase yield per acre. | peterborough, New Hampshire |
| 66 | multiflora group | Basic | AI-powered predictive analytics can optimize greenhouse climate control, irrigation, and harvest timing to dramatically increase crop yield, reduce resource waste, and improve quality consistency. | miami, Florida |
| 67 | gotham greens | Basic | Deploying AI-driven climate and irrigation control across its network of high-tech greenhouses to optimize yield, flavor, and resource efficiency at scale. | brooklyn, New York |
| 68 | appharvest | Basic | Deploying computer vision and predictive analytics across its greenhouse network to optimize yield forecasting, automate pest/disease detection, and reduce labor costs in harvesting and packing. | morehead, Kentucky |
| 69 | nuseed | Basic | Leverage genomic selection models and computer vision to accelerate breeding cycles for higher-yielding, climate-resilient oilseed hybrids. | west sacramento, California |
| 70 | agriland fs | Basic | Deploying an AI-powered precision agronomy platform that integrates soil, weather, and equipment data to generate field-by-field variable rate prescriptions, boosting member yields while optimizing input costs. | winterset, Iowa |
| 71 | grimmway produce group | Basic | Leveraging computer vision and predictive analytics across its 100,000+ acres to optimize harvest timing, automate quality grading, and reduce food waste in the fresh carrot supply chain. | , |
| 72 | wish farms | Basic | AI-powered predictive analytics can optimize harvest timing, labor allocation, and supply chain logistics to dramatically reduce waste and improve yield quality. | plant city, Florida |
| 73 | taylor shellfish farms | Basic | Deploy computer vision and IoT sensors across tidal flats to automate shellfish grading, optimize harvest timing, and predict biotoxin events, reducing manual labor costs and crop loss. | shelton, Washington |
| 74 | hortibest led grow light | Basic | Integrate AI-driven spectral optimization and predictive analytics into LED grow light systems to dynamically adjust light recipes based on real-time plant health data, maximizing crop yield and energy efficiency for commercial growers. | new york, New York |
| 75 | glass house farms | Basic | Deploying computer vision and predictive analytics to optimize climate controls, yield forecasting, and early pest/disease detection across greenhouse operations can significantly reduce resource waste and increase crop consistency. | santa barbara, California |
| 76 | sunrise farm group co, (928)550-5858 | Basic | AI-powered predictive analytics can optimize irrigation, fertilization, and harvest timing to significantly boost yield, reduce water usage, and improve crop quality. | yuma, Arizona |
| 77 | agro international inc | Basic | Implement AI-powered precision agriculture to optimize irrigation, pest control, and yield prediction across its farming operations. | san diego, California |
| 78 | dna swine genetics | Basic | Leveraging AI-driven genomic selection to accelerate breeding programs and improve swine traits. | columbus, Nebraska |
| 79 | frontera produce, ltd | Basic | Leverage computer vision and predictive analytics to optimize crop yield forecasting, reduce waste, and streamline supply chain logistics from farm to retailer. | edinburg, Texas |
| 80 | Weaver Eggs | Basic | versailles, Ohio | |
| 81 | threemile canyon farms | Basic | Implement AI-driven precision agriculture to optimize irrigation, fertilization, and pest control, reducing input costs by up to 20% while increasing yield consistency. | boardman, Oregon |
| 82 | Blue Star Growers | Basic | Cashmere, Washington | |
| 83 | perdue agribusiness | Basic | AI-powered predictive analytics can optimize feed formulation, animal health monitoring, and supply chain logistics to reduce costs and improve yield. | salisbury, Maryland |
| 84 | Deltapride | Basic | isola, Mississippi | |
| 85 | earthbound farm | Basic | AI-powered computer vision for real-time quality control and yield optimization in the field and at processing facilities can dramatically reduce waste and improve supply chain efficiency. | san juan bautista, California |
| 86 | wonderful orchards | Basic | Implementing computer vision and predictive analytics for precision yield forecasting, disease detection, and automated harvesting scheduling to optimize resource use and maximize crop value. | shafter, California |
| 87 | skagit horticulture | Basic | AI-powered predictive analytics can optimize greenhouse climate control, irrigation, and fertilization schedules to maximize crop yield, quality, and resource efficiency. | mount vernon, Washington |
| 88 | falcon farms inc | Basic | AI-powered predictive analytics can optimize crop yield, resource use, and harvest timing by analyzing real-time data from greenhouse sensors and weather forecasts. | doral, Florida |
| 89 | sugar cane growers cooperative of florida | Basic | Deploy AI-powered precision agriculture to optimize irrigation, fertilization, and harvest timing, increasing yield per acre while reducing input costs and environmental impact. | belle glade, Florida |
| 90 | agstate | Basic | Leverage AI-powered precision agriculture to optimize crop yields, reduce input costs, and streamline grain marketing across thousands of acres. | albert city, Iowa |
| 91 | pennington seed | Basic | Implementing AI-driven predictive analytics for crop yield optimization and supply chain forecasting can significantly reduce waste and improve inventory management for this large-scale seed producer. | , |
| 92 | taylor & fulton packing, llc | Basic | Deploy computer vision for automated quality grading and predictive maintenance to reduce labor costs and downtime. | palmetto, Florida |
| 93 | church brothers farms | Basic | AI-powered predictive analytics for crop yield, quality, and harvest timing can optimize supply chain planning and reduce waste in a highly perishable sector. | salinas, California |
| 94 | florexpo | Basic | AI-powered predictive analytics can optimize greenhouse climate, irrigation, and nutrient delivery to increase crop yield, reduce resource waste, and improve product consistency. | carlsbad, California |
| 95 | cooks venture | Basic | AI-powered genetic modeling and feed optimization can accelerate the development of healthier, more resilient heritage chicken breeds while reducing feed costs and mortality rates. | decatur, Arkansas |
| 96 | to-jo mushrooms | Basic | Leverage computer vision and predictive analytics to optimize mushroom yield, reduce spoilage, and automate quality grading. | avondale, Pennsylvania |
| 97 | Aisobservers | Basic | Marion, Massachusetts | |
| 98 | tanimura & antle | Basic | AI-powered predictive analytics for crop yield optimization and supply chain logistics can significantly reduce waste and improve profitability. | salinas, California |
| 99 | jain irrigation inc. | Basic | AI-powered predictive irrigation scheduling can optimize water usage, reduce energy costs, and increase crop yields by analyzing soil moisture, weather forecasts, and plant health data in real-time. | fresno, California |
| 100 | village fresh greenhouse grown | Basic | AI-powered predictive analytics can optimize crop yield, resource use, and harvest timing by analyzing real-time data from greenhouse sensors, reducing waste and boosting profitability. | lake mary, Florida |
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