Top 50 Crop Analytics - Pre Seed

AgriCapture employs data analytics and precision agriculture technologies to monitor and mitigate the impacts of climate change on crop yields. The company provides actionable insights that help farmers optimize resource use and enhance resilience against environmental stressors.

This startup provides high-resolution imagery and analytics for agriculture using drone or satellite technology. Their platform delivers insights on crop health, yield prediction, and resource optimization, enabling farmers to make data-driven decisions.

Cropler offers a digital agronomy assistant that uses mobile field cameras and AI to provide plant-driven crop management. This platform enables scalable monitoring and analysis of crop health and growth.

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%.

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.

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.

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.

Saturnalia offers a comprehensive platform for monitoring and managing physical assets. It provides tools for tracking asset performance, maintenance scheduling, and inventory management to optimize operational efficiency.

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.

The startup develops an artificial intelligence platform that utilizes data from satellites, smartphones, and drones with multispectral cameras to monitor crop health. This technology enables farmers to detect pests and diseases early, reducing crop losses and optimizing yield through targeted treatment recommendations.

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.

Cyan Agroanalytics provides a weather monitoring and forecasting platform that utilizes climate data analytics to help farmers understand the impact of weather variables on their agricultural operations. By offering features such as fire monitoring, six-month climate forecasts, and rainfall tracking, the platform enables producers to make informed decisions that mitigate climate-related risks to crop production.

SciCrop is a big data analytics platform that integrates internal, supplier, and IoT data to provide tailored dashboards and machine learning insights for agricultural operations. The platform enables farmers and agribusinesses to enhance productivity and decision-making through real-time geographic and weather analytics.

EOS Data Analytics (EOSDA) utilizes AI-powered satellite imagery and geospatial analytics to monitor crop health and soil moisture, providing farmers with actionable insights for improved yield and resource management. By delivering precise data on agricultural conditions, EOSDA addresses inefficiencies in farming practices and promotes sustainable land use.

The startup offers a cloud-based platform that tracks resource deployment and yield records for agricultural operations. By utilizing data science, it provides farmers with tailored lending services to effectively plan their finances for upcoming sowing and harvest cycles.

This ag-tech startup provides on-demand robotics and machinery for various farming tasks, utilizing data analytics to deliver real-time insights into farm conditions. By optimizing resource allocation and enhancing yield, the company enables farmers to produce more efficiently while minimizing input costs.

Growpital is a platform that connects investors with agricultural projects, utilizing data analytics to assess project viability and risk. This approach addresses the lack of accessible investment opportunities in the agriculture sector, enabling investors to diversify their portfolios while supporting sustainable farming initiatives.

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.

Singrow utilizes precision agriculture techniques, including soil sensors and data analytics, to optimize crop yields and resource usage. The company addresses inefficiencies in farming by providing actionable insights that reduce water and fertilizer consumption while enhancing productivity.

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.

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.

AgroTech provides a digital platform that aggregates real-time data on weather, soil conditions, and crop health for agricultural professionals. By offering actionable insights and recommendations for irrigation, fertilization, and pest control, the platform enhances farm productivity and decision-making efficiency.

The startup is developing a digital platform that utilizes IoT sensors and data analytics to optimize resource management in high-value agriculture. This technology addresses inefficiencies in water usage and crop yield monitoring, enabling farmers to increase productivity and reduce operational costs.

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.

CropGen provides IT solutions for the agricultural sector, helping farmers and agribusinesses increase productivity and sustainability. Their services aim to enhance profitability through technology-driven improvements in agricultural practices.

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.

The startup utilizes precision agriculture technology, including IoT sensors and data analytics, to optimize resource use and enhance crop yields. This approach addresses the challenges of food production sustainability by minimizing water and fertilizer waste while increasing food security.

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.

Omega Crop utilizes remote sensing, artificial intelligence, and geostatistics to provide real-time, field-level performance predictions for farmers. By diagnosing crop loss events on a plant-by-plant basis, the platform enables targeted interventions that enhance crop yields and resource management.

EARTH is a decision support platform that utilizes IoT precision agriculture and satellite tracking to enhance crop monitoring and optimize resource management. The platform enables agroindustries to reduce costs and improve yields by providing accessible technical assistance and disruptive technology for sustainable food production.

This startup develops AI-based crop monitoring technology that utilizes computer vision and advanced analytics to provide real-time assessments of crop health, damage detection, and yield predictions. By enabling farmers to optimize operations and minimize chemical usage, the technology enhances decision-making for plant protection and resource management.

Agrihub is a software platform that allows farmers to monitor crop yields and manage pesticide applications through data tracking and analytics. This solution addresses the challenges of inefficient resource management and compliance in agricultural practices, enhancing productivity and sustainability.

This startup develops agricultural technology tools that utilize remote sensing and crop data to create precise input prescriptions tailored to specific field regions. By optimizing input application, the technology enhances crop yield and productivity for farmers across various agricultural sectors.

Crop Convergence provides decision-support tools that utilize data analytics and environmental monitoring to optimize yield, nutrition, and quality for crop growers in controlled environments like greenhouses and vertical farms. The startup enhances agricultural production methods to increase access to nutritious, fresh food globally.

Digital Harvest provides predictive analytics for sugarcane cultivation using drone and satellite remote sensing technologies to identify field performance gaps. This enables large crop producers to enhance yield efficiency and optimize resource allocation across their extensive agricultural operations.

KhetiPoint utilizes data analytics and precision agriculture techniques to enhance transparency and operational efficiency in the Indian agricultural sector. The platform addresses inefficiencies in resource allocation and crop management, enabling farmers to optimize yields and reduce waste.

Agrofocal is developing a crop monitoring system that utilizes computer vision and AI to provide real-time insights on yield and crop health. This technology enables farmers to make data-driven decisions, increasing production efficiency while reducing costs and environmental impact.

The startup develops an AI-powered agricultural analytics platform that utilizes satellite imagery and weather data to enhance crop yield prediction and risk assessment. By providing actionable insights, the platform enables farmers to make data-driven decisions that increase crop production and profitability.

This startup develops IoT devices and analytics for the agricultural sector to minimize crop waste and enhance profitability. Their technology provides farmers with real-time data on crop health, optimal harvest timing, and predictive insights on disease, enabling efficient farm management and improved yields.

The startup develops precision agriculture technology that enhances crop yield through data analytics and IoT sensors, enabling agribusinesses to optimize resource usage. Their products address inefficiencies in farming operations by providing real-time insights into soil health and crop conditions.

The startup provides a precision agriculture platform that utilizes data analytics and IoT sensors to monitor crop health and optimize resource usage. This technology reduces water and fertilizer waste while increasing crop yields, addressing inefficiencies in traditional farming practices.

Ali Analytics offers AgriVision AI, a computer vision and data science platform that analyzes satellite imagery, weather data, and IoT sensor data to provide farmers with real-time insights into crop health, yield estimation, and pest/disease control. This enables data-driven decisions for improved agricultural practices.

AgriSciences utilizes data analytics and precision agriculture technologies to enhance crop yields and optimize resource usage for farmers and producers. By transforming disparate agricultural data into actionable insights, the company addresses the challenge of increasing food production to meet the demands of a growing global population.

First Crop develops farming technology that enables farmers to implement environmentally sustainable practices through data-driven insights and precision agriculture techniques. This approach addresses the challenges of resource inefficiency and environmental impact in traditional farming methods.

The startup provides a full stack Agtech platform that leverages data analytics to deliver actionable insights for agribusiness stakeholders. This technology enhances decision-making, operational efficiency, and productivity in farming practices by transforming agricultural data into measurable outcomes.

AgriGrow Analytics employs precision agriculture techniques and data analytics to provide farmers with real-time insights on soil health, weather patterns, and crop performance, enabling them to optimize yields and manage resources effectively. The platform addresses inefficiencies in farming practices, resulting in an average yield increase of 86% and a 92% improvement in profitability for its users.

The startup offers a collaborative platform that utilizes big data, artificial intelligence, and machine learning to provide farmers with actionable insights on crop selection, soil compatibility, and optimal planting schedules. This technology enables small farmers to lower cultivation costs, enhance crop yields, and improve the marketability of their produce.

This startup provides a data management platform that enhances the accuracy of agricultural data through real-time analytics and automated reporting. By streamlining data collection processes, it enables farmers to save time and reduce operational costs.