Advanced Sensing & Management Technology in Specialty Crops

Overview
This project addresses current management issues in deciduous tree crops, to optimize resource use. We strive to provide:
- Management recommendations for tree crops which are site-specific, time-specific and adaptive to local conditions.
- Fertilization and irrigation programs which account for variation in space and time.
- Guidelines for nitrogen and water management for the ongoing refinement of 'Best Management Practices.'
Specific project goals are to: 1) Quantify and manage spatial and temporal variability of production parameters in orchards and 2) Develop tools to allow site and year specific nutrient and water management. Three integrated activities address these goals:
Demand Estimation
Plant and orchard (or vineyard) scale investigations of nitrogen and water demand and fluxes, and modeling of crop nutrient and water demand
Status Determination
Plant and orchard (or vineyard) based determination of water and nutrient status, and remote and local sensing of water and nutrient status
Integration and Validation
Beta-development of a web-based decision-support toolkit ‘NutMan’ under control and deficit conditions, and iteratively testing to refine and validate models and tools.
Nitrogen Management Tools for Almond 2) An integrated model that calculates your N budget utilizing predicted yield, irrigation water, amendment and leaf nutrient samples: https://www.sustainablealmondgrowing.org 3) Interpreting Early Season Leaf Samples: Download spreadsheets for Single & Multiple samples. Nitrogen & Potassium Prediction Model for Pistachio Pistachio Early-Season Sampling and In-Season Nitrogen Application Maximizes Productivity, Minimizes Loss. Protocol for Early-Season Sampling and In-Season Nitrogen Budgeting. Muhammad Ismail Siddiqui and Patrick Brown. (pdf) PISTACHIO PREDICTION MODEL. Leaf Sampling and Model Protocol and link to interactive model. |