Agsenze Ltd

This project will demonstrate how automated, camera‑based cattle weighing can change the economics of beef production by cutting labour, improving growth, and reducing emissions. Partner farms will trial the Agsenze automated weighing system, which uses 2D/3D imaging to record animal weights daily as cattle visit water troughs or salt licks---no handling ...

UK dairy farmers face intensifying pressures: rising feed prices, rising carbon-reduction demands, worsening labour shortages, and major financial losses from delayed calving---estimated at £6 per cow per day. Fertility sits at the centre of both the problem and the solution: poor or rapidly changing body condition, lameness and undetected health deviatio...

This project will demonstrate how Agsenze's HerdVision automated camera system can improve the management of dairy cows during the dry and transition periods---key stages that determine fertility, health, and early-lactation performance. The technology provides daily, hands-free Body Condition Score monitoring, helping farmers optimise nutrition, spot pro...

Farmers urgently need to better manage heifer growth to optimise age at first calving. Body size at service is a balancing act. Heifers need adequate body size at first calving to reduce risk to calf and ensure successful service but leaving them to grow later increases costs. Heifers should be 55-60% of mature bodyweight. The challenge for farmers is acc...

This project will show how new camera technology can help beef farmers save time, improve animal growth, and cut emissions. It will test the Agsenze automated weighing system, which uses cameras to estimate cattle weights daily as animals visit a water trough or salt lick. There's no need to gather or handle cattle, meaning less stress for animals and les...

Our food supply is under unprecedented pressure. The FAO (2021) estimates that 20-40% of our crops are lost to pests, at a global industry cost of $70bn each year (WeForum 2021). Therefore integrated pest management (IPM) strategies are increasingly adopted to control outbreaks and minimise economic impact and environmental damage. IPM approaches include ...

Our proposed System is a completely non-intrusive face-based (artificial) intelligent monitoring system that can automatically capture welfare and health data for monitoring and management of pigs. Why? Being able to continuously monitor and assess farm animal health and welfare depends on the deployment of practical, valid, and reliable measurement tools...

Farmers need accurate knowledge of beef cattle weight in order to manage growth and predict optimal finishing time - ie the point at which growth rate has peaked and the animals generate a larger carbon footprint because FCR decreases. Currently, cattle are weighed at 6-8 week intervals, this is time-consuming and animals do not grow well for the followin...

This project will develop and pilot a cloud-based platform that gives inspection bodies access to automated body condition scoring and video information on individual animals, enabling a more thorough welfare inspection without the need for a farm visit. Because of lockdown measures, on-farm inspections can not be implemented and certification bodies such...

The MothNet project will assess the early stage technical feasibility of a fully automated codling moth monitoring system. The innovative project will gather and analyse data on codling moth features based on a wide range of parameters in order to identify previously unexploited features that can be used to distinguish the species. In addition new long-li...

Honeybees are vital pollinators, both to the agricultural industry and the wider environment. African honeybees are essential for cash crop, such as cashew, production to provide income to smallholder farmers in Africa. The BEE SMART project will test an innovative new commercial model to improve yields and environmental management for smallholder male an...