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
How technology can align incentives for producers, investors, and society Technology can only take you so far. Investors play a crucial role in making land assets more valuable over time. Land assets can provide both annual cash flow from agricultural production, and asset value increase over time. The asset typically increases in value due to limited supply, or through having
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 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