Top 50 Crop Analytics - Pre Seed

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.

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.

PerPlant develops AI-driven camera-based agronomic sensors for tractors and agricultural drones that optimize crop treatment by assessing real-time field conditions. This technology enables farmers to increase yields by up to 4% while reducing herbicide use by up to 87% and eliminating the need for time-consuming data management.

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.

Proofminder offers a leaf-level farming platform that provides 99%-accurate insights on individual plants, enabling growers to monitor crop health and optimize inputs. This technology helps farmers improve yield and quality while reducing chemical usage by up to 80%, ultimately enhancing sustainability and profitability.

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.

Rural Farmers Hub provides a cloud-based platform that utilizes precision data analytics and automated assessments to optimize crop health and farm management. The service addresses inefficiencies in agricultural practices by delivering tailored insights on soil, crop, and livestock conditions, enabling farmers to make informed decisions that enhance productivity and reduce resource waste.

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.

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.

SatYield is a data-fusion AI platform that utilizes satellite imagery and deep learning to provide real-time crop yield predictions with over 94% accuracy, identifying yield gaps and diagnosing variability without relying on historical data. This technology addresses uncertainties in the agricultural supply chain, enabling farmers to optimize practices and improve crop yields by more than 10% ahead of harvest.

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.

The startup develops an agrotechnology platform that utilizes sensors, drones, and data analytics to monitor crop health and optimize resource usage. This technology enhances food production efficiency and sustainability while minimizing environmental impact, enabling farmers to boost productivity and profitability.

Raizul provides a digital platform for farmers to optimize crop yields and profitability through smart irrigation, crop monitoring, and soil analysis. The platform delivers data-driven insights and guidance to improve resource efficiency and achieve greater agricultural sustainability.

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.

Agrointeli offers a digital agriculture platform that centralizes field data to enhance crop management and decision-making for farmers. By providing real-time analytics and operational tracking, the platform enables farmers to optimize production sustainably and improve overall efficiency.

KisanHub offers a cloud‑native SaaS platform that unifies crop monitoring, inventory tracking, quality certification, and digital trade agreements for fresh‑produce supply chains. By ingesting satellite imagery, weather feeds, field observations and lab results, it provides real‑time dashboards, predictive analytics and API integrations that improve forecasting, reduce waste and ensure contract compliance.

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.

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.

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.

Innov8 Ag Solutions utilizes data aggregation from agricultural imagery and IoT sensors, combined with machine learning algorithms, to provide actionable insights that enhance crop management and optimize resource allocation. Their technology addresses inefficiencies in farming practices, enabling growers to improve labor productivity and achieve better economic outcomes through precise data-driven decision-making.

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.

ec2ce utilizes advanced mathematical modeling and predictive analytics to enhance decision-making in agribusiness by forecasting crop yields, pest management, and resource optimization. Their technology addresses inefficiencies in the agricultural supply chain, enabling farmers to increase productivity and sustainability while maximizing profitability.

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.

The startup offers a grower management and sourcing platform that utilizes field surveys, satellite imagery, weather data, and crop analytics to deliver field-specific insights and system recommendations. This technology enables agricultural producers to enhance traceability, improve buyer connectivity, and foster a sustainable food system.

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.

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.

Farmgate is developing a commercially-viable AI foundation model specifically for agriculture, enabling smart farming applications through advanced data analytics. This technology enhances crop management and resource optimization, addressing inefficiencies in traditional farming practices.

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 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.

The startup digitizes agricultural knowledge through a data-driven platform that utilizes machine learning algorithms to enhance farm productivity and mitigate risks in crop management. By providing actionable insights and real-time analytics, it enables farmers and processing industries to make informed decisions that improve yield and operational efficiency.