Top 50 Crop Analytics in Asia

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.

Fasal is an AI-driven IoT platform that provides real-time, farm-specific data on microclimatic conditions, irrigation needs, and pest risks to optimize crop management. By delivering precise recommendations, Fasal helps farmers reduce water usage by up to 82.8 billion liters and decrease pesticide costs by up to 60%, ultimately increasing crop yields by up to 40%.

AgroNest provides a cognitive operating system that creates a digital twin for each plant by combining high‑density IoT soil sensors, daily satellite LiDAR imagery, and continuous telemetry. Its AI engine forecasts crop health, predicts yields, and recommends optimal irrigation, fertilization, and energy use, while tokenizing yield and carbon data for insurance and financing, all secured with zero‑knowledge encryption.

Doktar Technologies develops AI and IoT solutions for real-time crop monitoring, pest detection, and resource management, enhancing precision farming practices. By providing farmers with actionable data, the company addresses inefficiencies in agricultural productivity and environmental sustainability.

Fermata develops the Croptimus™ platform, which utilizes computer vision and machine learning to continuously monitor crops for early detection of pests and diseases. This technology reduces crop losses and minimizes pesticide use, leading to significant savings on crop inputs and labor for growers.

This startup develops practical agricultural technology tailored for smallholder farmers, focusing on tools that analyze yield drivers and enhance farming practices. By enabling farmers to implement these technologies easily, the company aims to significantly increase crop yields and improve overall farming productivity.

The startup develops autonomous drones equipped with algorithms for real-time agricultural data collection and analysis in the cloud. This technology enables agricultural businesses to monitor crop health and optimize resource allocation remotely, enhancing decision-making efficiency.

Satyukt is an agritech company that utilizes data analytics and precision farming techniques to provide B2B agricultural data and services. The platform delivers real-time insights that enhance crop yield and improve operational efficiency for agricultural businesses.

Advick AgVenture utilizes satellite imagery and artificial intelligence to provide precision farming solutions that enhance crop management and optimize resource use. By delivering real-time insights on soil health, crop conditions, and environmental factors, the platform enables farmers to increase yields while reducing input costs and environmental impact.

BharatAgri is a digital platform that provides farmers with actionable insights and data-driven recommendations to enhance crop yield and profitability through precision agriculture techniques. By offering tailored solutions such as pest management, fertilizer optimization, and growth monitoring, the platform directly addresses the challenges of low agricultural productivity and income variability faced by farmers.

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.

Intello Labs employs image matching and machine learning algorithms to assess crop quality by analyzing visual data. This technology provides farmers and agribusinesses with precise quality metrics, enabling better decision-making and improved yield management.

Kisaan provides a data‑driven agritech platform that combines satellite imagery, weather forecasts, and on‑ground sensor data to deliver field‑level recommendations for planting, irrigation, fertilizer use, and livestock health. Farmers access these actionable insights through a mobile dashboard in their local language, helping them increase yields while reducing water, input, and labor waste.

Provides satellite-based remote sensing and machine learning solutions to deliver location-specific insights for agriculture, finance, infrastructure, and climate sectors. Enables precise crop monitoring, risk assessment, and resource management by integrating high-resolution satellite imagery with AI-driven analytics, supporting over 2 million farm loans and 500,000 insurance claims annually.

Agrovisio provides precise agricultural data and forecasts through a platform that analyzes field performance and crop yield potential. This technology enables stakeholders to optimize land rental decisions and purchase agricultural commodities at the most cost-effective times, potentially saving up to 10% on purchases and increasing yield by up to 17%.

Krishify is a digital platform that connects farmers through crop-specific communities, utilizing remote sensing and personalized advisory services to enhance crop management and profitability. The platform addresses the challenge of accessing timely, quality agricultural inputs and market linkages, ensuring farmers achieve maximum returns on their produce.

Hornbill AgriTech provides an AI‑powered analytics platform that aggregates agricultural and food system data to forecast yields, optimize input use, and assess supply‑chain risks. The solution offers customizable dashboards, API integration with existing ERP and IoT systems, and risk assessment tools for insurers and lenders, helping agribusinesses and food companies improve productivity, reduce waste, and meet sustainability goals.

Sensegrass provides a soil intelligence platform that utilizes satellite imagery and remote sensing data to monitor soil health and crop performance. The technology addresses issues such as soil salinity, erosion, and waterlogging, enabling farmers to optimize resource use and enhance crop yields.

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.

Agrix offers a precision agriculture platform that integrates data analytics, machinery rental, and expert mentorship to enhance crop yields and operational efficiency. The startup provides farmers with access to advanced farming technologies and knowledge resources, addressing the challenges of limited resource availability and expertise in agricultural practices.

Farmdar uses AI and high‑resolution satellite imagery to deliver field‑level crop intelligence—identifying crop type, acreage, variety, sowing dates, yield forecasts, harvest progress, and stress indicators—across millions of hectares. The platform provides an interactive dashboard and API for large agribusinesses to monitor and plan operations with up‑to‑date, actionable data, reducing reliance on manual surveys and improving supply‑chain efficiency.

Enfarm provides real-time soil nutrient monitoring using generative AI to deliver lab-grade accuracy and actionable agronomic recommendations. The system continuously tracks seven critical soil parameters, enabling agribusinesses to optimize inputs, increase crop yields, and support sustainable farming practices. Their platform integrates sensor data with smart analytics for proactive decision-making and seamless management of fertilization and irrigation schedules.

Agrilift provides a precision farming platform that builds a digital twin of each field using real-time sensor data and satellite imagery. Its AI-driven analytics deliver actionable recommendations for irrigation, fertilization, and pest management through the Farmlink dashboard, integrating with existing farm equipment to help growers optimize inputs and boost yields.

Fuselage Innovations develops UAVs and IoT-based precision farming solutions that utilize advanced sensor technologies for real-time crop health monitoring and soil analysis. Their technology addresses inefficiencies in agricultural practices, resulting in a 14% increase in yield and a 33% reduction in agricultural inputs for farmers.

Farmwise AI develops remote sensing solutions that utilize advanced data analytics to enhance agricultural productivity. The company provides actionable insights for farmers, enabling them to optimize crop management and resource allocation.

This startup develops a data-driven farming platform that utilizes machine learning models to analyze sensor and imaging data related to water, climate, and soil moisture. By automating farming practices and workforce management, the platform enhances crop planning and operational efficiency for farmers.

BhoomiCam utilizes AI and satellite technology to provide farmers with real-time insights on crop health, weather conditions, and soil moisture levels, enabling data-driven decision-making. This platform enhances agricultural productivity and sustainability for both small and large farming operations by integrating traditional practices with modern technology.

Ox-agro utilizes satellite imagery and AI-driven analytics to transform complex agricultural data into clear, actionable reports for farmers. This approach addresses the challenge of interpreting technical data, enabling farmers to make informed decisions about crop health and management without needing to navigate complicated software.

AgriApp utilizes IT and IoT technologies to provide real-time crop advisory services and data analytics for farmers, enhancing agricultural productivity and sustainability. The platform addresses inefficiencies in farming practices by delivering actionable insights that optimize resource use and improve crop yields.

CultYvate utilizes IoT and remote sensing technology to provide precision farm analytics that enhance crop yield and reduce resource inputs. Their solutions enable farmers to optimize water usage by up to 50%, decrease pesticide residue, and earn carbon credits, promoting sustainable agricultural practices.

Agrithmics offers an IoT-enabled platform that provides real-time data analytics and monitoring for small-hold farmers, factories, and regional plantation companies. The solution enhances crop management and operational efficiency by optimizing resource use and improving yield outcomes in agriculture.

BharatRohan utilizes drone-based hyperspectral imaging to gather detailed agricultural data, providing farmers with tailored advisories that enhance crop yield and reduce operational costs. The platform addresses issues of pest and disease management, ensuring optimal harvests while minimizing input and labor expenses.

SmartU is a WhatsApp-based chatbot that provides farmers with tools for financial record keeping, crop health advice, local weather updates, and market prices. By delivering actionable information through an accessible platform, SmartU helps farmers make data-driven decisions to improve yields and profitability.

This agritech company provides data analytics and field research services that utilize fourth-industrial revolution technologies to enhance agricultural decision-making. By optimizing resource allocation and improving crop yields, the company helps farmers and landowners increase productivity and efficiency in their operations.

FruitSpec is developing a precision agronomy system that utilizes advanced imaging and machine learning techniques to provide accurate yield estimates for fruit trees. This technology enables growers to make informed decisions about resource allocation and crop management, ultimately enhancing productivity and profitability.

ELAI provides a crop intelligence platform that utilizes satellite imagery and machine learning to deliver real-time insights on crop health, yield predictions, and soil conditions. This technology enables financial institutions and farmers to make informed decisions, improving risk assessment and enhancing financial inclusion for farmers lacking access to formal credit.

ForFarming provides device-agnostic software that integrates with existing indoor farming equipment to enable precision agriculture through AI-powered data analytics and remote monitoring. This solution enhances crop yield and quality by optimizing environmental conditions while reducing costs and labor associated with farm automation.

IoCrops develops an AI-driven remote management platform for autonomous greenhouses, utilizing data collection and predictive analytics to enhance agricultural productivity and decision-making. The technology addresses the inefficiencies in traditional farming practices by automating cultivation processes and enabling scalable operations across multiple locations.

Shuxi Technology provides digital transformation solutions utilizing intelligent analytics to enhance decision-making in agriculture. The platform addresses inefficiencies in crop management and resource allocation, enabling farmers to optimize yields and reduce operational costs.

This startup manufactures fully automated agricultural drones that utilize centimeter-level precision to diagnose the health and growth of individual rice stalks in real-time. By optimizing the application of fertilizers and agrochemicals based on these diagnoses, the drones reduce labor requirements while enhancing crop yield and quality.

The startup develops a smart insect monitoring system that utilizes artificial intelligence for real-time image capture and machine learning to analyze insect populations in agricultural settings. This technology enables farmers to monitor pest activity remotely, facilitating timely and informed decision-making to enhance crop management.

Black Eye Technologies provides IoT and AI-driven solutions for agriculture, utilizing smart devices and machine learning to enhance crop monitoring and resource management. The company addresses inefficiencies in farming practices, helping farmers optimize yields and reduce operational costs.

Lokatani offers an integrated agricultural technology platform for hydroponic farming, featuring an IoT system for automated environmental control and data analytics to optimize crop yields. The platform also connects farmers with consumers and HORECA businesses, while providing educational resources for new hydroponic growers.

The startup develops artificial intelligence tools for analyzing remotely sensed agricultural data to enhance productivity and sustainability in farming. Their technology enables cultivators to monitor plant health, pests, and diseases, providing actionable insights for improved crop management.

This company develops and deploys AI-powered agricultural technology, primarily utilizing custom drones for precision farming applications. They optimize resource use, such as water and fertilizer, while enhancing crop yield and quality through data-driven analysis. Services include the sale of agricultural and industrial UAVs, along with specialized R&D consulting and technical training.

Leaf Guardian employs AI-enhanced analysis of RGB reflections to detect micro-changes in plant health, providing real-time alerts and automated nutrient management to optimize crop growth. This technology addresses the issue of excessive fertilizer use, enabling farmers to achieve higher yields while reducing fertilizer inputs by up to 50%, thus minimizing environmental pollution.

The startup offers an ag-tech platform that enables farmers to analyze agricultural data and improve crop yields through data-driven insights and collective intelligence. By connecting farmers with agricultural traders and providing tools for monitoring crop trends and profitability predictions, the platform enhances farm management and supports the adoption of effective farming techniques.

This startup develops agricultural technology that utilizes big data and optical sensors to enhance the production of tomatoes and melons. The technology addresses the decline in farming skills and the aging population of farmers, enabling low-cost production while preserving essential agricultural craftsmanship.

The startup has developed an AI-powered integrated pest and disease detection system that employs imaging and machine learning technologies for early detection in high-value crops. This system enables farmers to monitor crop health in real-time, reducing pesticide use and labor costs while enhancing crop yield and quality.

Wolkus develops precision agriculture technology that utilizes remote sensing and data analytics to optimize crop management and resource allocation. This approach addresses inefficiencies in farming practices, leading to increased yields and reduced environmental impact.