Agricultural Drones: Companies, Startups & Research

DJI Inc, AgEagle Aerial Systems Inc., Kubota Corporation, and Yamaha Motor Corporation are among the companies associated with agricultural drone activity. DJI develops agricultural UAVs for spraying and field operations, while AgEagle offers aerial imaging products and multispectral sensors. Company activity spans aircraft, sensing payloads, spraying systems, and analytics rather than a single product category.

Sentera Inc. is a listed agricultural drone startup, with work focused on drone-based crop imaging and analytics. Its patented methods analyze georeferenced UAV images to identify field features and support precision-agriculture decisions. The dataset lists 17 startups overall, but does not provide enough comparative evidence to rank them by commercial promise.

Nanjing Agricultural University, the Chinese Academy of Agricultural Sciences, and China Agricultural University are prominent research organizations in the data. Their work includes crop monitoring, UAV-based phenotyping, multispectral and thermal imagery, farmland mapping, and coordinated spraying or fertilization. China Agricultural University also appears in recent work on UAV–ground-robot path planning.

The data records $213.7 million in grants across 251 awards since 2020 and $641.9 million across 13 funding rounds. These are the funding totals associated with the agricultural-drone topic in the dataset. They indicate recorded grant and round activity, but do not establish how much capital was invested exclusively in commercial drone companies.

Kubota Corporation leads the listed patent holders with 14 patents, followed by Trimble Inc. with 9. AGCO International GmbH has 5, while CNH Industrial has 4. The listed organizations span agricultural equipment, precision agriculture, and research; the figures reflect the patent-holder records in this topic dataset.

No: the listed patent growth measure is down 56.5%, with 155 patents in the 24-month window. This contrasts with 3,278 publications last year, up 22.6%. The figures suggest that recent activity is stronger in research than in patenting, though publication and patent counts capture different types of innovation.

Recent directions include vision-language models for UAV remote sensing, UAV–ground-robot coordination, and improved sensing for crop health and nutrient estimation. In October 2026, research addressed real-time remote sensing and prescription-map-guided spraying and fertilization. In August 2026, Thales and Kelly Hills announced a beyond-visual-line-of-sight network for Kansas farm tasks.

The main approaches are airframe architectures, remote-sensing payloads, liquid spraying systems, granular delivery systems, and autonomy and analytics. They address different parts of farm work: aircraft carry equipment, payloads gather data, delivery systems apply inputs, and software interprets data or plans operations. Their trade-offs center on flight endurance, payload and coverage, application quality, and dependable decision-making.

The United States leads the country breakdown with 38,077 documents, or 57.2% of the listed total. China follows with 12,967 documents, and the United Kingdom has 11,428. India and Germany also have substantial activity, with 9,678 and 9,515 documents respectively. These figures describe document activity, not market share or deployment rates.

The listed applications are crop health monitoring, crop protection, fertilizer and seeding, field mapping and surveying, and work in orchards and vineyards. Crop health monitoring and crop protection are the largest application categories in the data, with 1,787 and 1,459 documents respectively. These tasks use drones for observation, mapping, or aerial delivery of farm inputs.