Our mobile data collection and yield prediction features for table grapes are now live in the Sensonomic app! Currently we support field sampling of Shoots and bunches before flowering (Phase 1) Bunches and berries from fruit set to veraison (Phase 2) We expect a plot-level prediction accuracy of 65% during Phase 1 67% during Phase 2 Exact accuracy will depend
Para español, haga clic aquí. Yield predictions from flowering Conducting a quick, visual assessment of olive flowering with Sensonomic’s mobile app can produce highly useful estimates of future yields. We have developed specialized algorithms to predict final harvest weight from flowering measurements with an accuracy of 81% down to plots of 50 ha. Predicting total harvest weight early in the
Producers can get a head start on planning for the harvest season by tracking how the extent and timing of flowering varies across their groves. In the Mediterranean region, flowering typically occurs between April and May.
Every spring olive producers carefully record the number of flowers on a sample of their trees with an important purpose in mind. The extent of flowering can be an early and strong predictor of the weight of olives at harvest in autumn with an accuracy of 60-75%.
Agriculture is where we need to get things right in order to tackle climate change. Farmers are at the forefront of what can seem like a fight against windmills: Ingrained industry traits, opaque markets, and an uneven distribution of bargaining power make most farmers price-takers and quantity-makers, instead of value-creators and quality-makers. The only way forward is green and profitable
Agriculture is vital to feeding the world’s population but its environmental cost is massive, occupying 70% of ice-free land and driving deforestation. Recent proliferation of agricultural data presents an exciting opportunity to apply advanced analytics to improve efficiency and reduce impact. In this video I talk about my DPhil research at the University of Oxford on computational simulation to help