As of May 2026, there are 92 SaaS companies in Other Agriculture Software. They have combined revenues of $3.5B and employ 16.5K people. They have raised $2.8B and serve 363.7K customers combined.
Other Agriculture Software encompasses a variety of digital solutions tailored to enhance various aspects of agricultural operations that are not covered by more mainstream agricultural software. This category includes specialized tools for precision farming, crop management, pest control, supply chain management, and sustainability management. Users can expect features such as data analytics, mobile accessibility, integration with IoT devices, and real-time tracking of agricultural activities. The primary use cases for Other Agriculture Software include optimizing farm productivity, managing resources efficiently, ensuring compliance with safety regulations, and facilitating communication among agricultural stakeholders. Buyer personas for this category typically include farm managers, agronomists, supply chain specialists, and sustainability coordinators, who seek innovative ways to leverage technology in their agricultural practices.
Sorting: Highest -> Lowest
Showing 10 of 16 companies ranked by annual revenue.
Leesburg, Virginia, United States
Company providing technology that is customer-centric, simple, intuitive and usable in industries such as health care, defense, aerospace and agriculture
Beijing, China
Nxin is an agricultural Internet technology company that operates online platforms providing data, e-commerce, and financial services for the agricultural industry.
Westfield, Indiana, United States
Taranis is a leading precision agriculture intelligence platform that uses sophisticated computer vision, data science and deep learning algorithms to effectively monitor fields. Taranis offers a full-stack solution for high precision aerial surveillance imagery to prevent crop yield loss due to insects, crop Farmers lose 30-40% of their yield every season due to crop diseases, insects, and weeds. Our mission: Help growers maximize crop yield, improve productivity, and adopt sustainable practices in order to ensure prosperity, starting in our local communities and for the benefit of the world. Taranis crop intelligence solutions use deep agronomic expertise and the most advanced AI and submillimeter image technologies to do just that. We make an impact for over 100 agribusinesses, thousands of farmers, and in millions of acres around the world, and grow rapidly. Founded in 2015, Taranis raised over $100M from leading VC investors and is being led by a founding team with vast experience in both agriculture and technology.
Goiânia, Brazil
Siagri is a software company that specializes in providing ERP solutions for the agricultural industry. Their software helps businesses in the agricultural sector manage their operations, finances, and customer relationships effectively.
Heerlen, Limburg, Netherlands
CIED is an AgTech company that builds web, mobile, AI, and blockchain-based applications practical for agri-food supply chains to ensure transparency, trust, and fair ownership. The company develops web-based products, cross-platform apps, and software services.
Eberswalde, Brandenburg, Germany
Dryad provides ultra-early detection of wildfires as well as health and growth monitoring solutions for public and private forests.
Ho Chi Minh City, Vietnam
Dynamic is a technology enterprise that develops research applications for various sectors including agriculture, mining, healthcare, and telecommunications.
Kyiv, Kyiv, Ukraine
DroneUA is a Ukrainian group of companies specializing in complex integration of high-tech solutions for a wide range of economic and business sectors. It operates as an Integrator of unmanned solutions, providing advanced technology and services for sectors such as agriculture, geospatial analysis, and precision agriculture.
São Paulo, São Paulo, Brazil
Gaivota is a Vertical SaaS to connect and optimize the agribusiness ecosystem.
- Must provide functionality for managing specific agricultural tasks not typically addressed by mainstream software - Should include data analytics capabilities for informed decision-making - Must support mobile access for on-the-go management - Should integrate with IoT devices for tracking and monitoring purposes - Must cater to various agricultural stakeholders, including farmers, suppliers, and agronomists - Not just a general farm management system; must also offer specialized features for niche agricultural functions
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