SOLUTION / PUBLIC SOURCE RECORD
Sensonomic’s computational simulations make farming more productive
- Published 28 November 2022; updated 23 March 2026; estimated reading time 2 minutes. Listed under Agritech and food production.
- Sensonomic software builds a digital model of a farm, including land, infrastructure, equipment and workers, then updates it with satellite, drone, sensor and customer data. Computational simulations are used to support decisions about crops, planting, irrigation, fertilisation, harvesting and logistics. The intended results include improved yields and resource use, earlier plant-disease response and a balance between conservation and profitability.
- The article highlights post-harvest loss and the challenge of matching production and delivery to the required time, place and quantity. Sensonomic says better logistics can reduce losses and reports demonstrating a 15% increase in harvest value for vegetable-oil crops, which the page says are especially vulnerable to quality deterioration. This is a company-reported result.
- The software also generates operational reports to document farming improvements and support risk analysis for insurers, finance providers, buyers and traders. The company says it has delivered projects in Europe and the South Pacific for vegetable oils, sugar cane, rice, shea and other crops, and was involved in a commercial development project valued above EUR 1 million at the time of the article.
- The page cites FAO estimates about food losses and agricultural-research spending; those figures are attributed to the linked sources. It identifies potential users across the agricultural value chain.
- Linked to SDGs 2 (Zero hunger), 3 (Good health and well-being) and 12 (Responsible consumption and production).
- Contact: Anders Gundersen, CEO & Founder, anders.gundersen@sensonomic.com. Company: SENSONOMIC AS, c/o Tveit Regnskap Bergen AS, Kokstadflaten 31, 5257 Kokstad, Norway; sensonomic.com. A phone-number reveal control is present.