Producers and other professionals from the agricultural sector are increasingly using data. Using data to drive decisions in crop production, instead of experience alone, is a sure sign that digital agricultural is a real trend. Sensor suites that can wirelessly transmit machine or agronomic data to cloud-based storage platforms can play a key role. The future of sensors in agriculture is wide open, ranging from multispectral and hyperspectral sensing of plants or soils during the growing season to grain quality during or after harvest. Development of algorithms or models that incorporate sensor data to provide decision support to end users in near real-time continues to be a critical need in crop production.
|Original language||English (US)|
|Number of pages||2|
|Specialist publication||Resource: Engineering and Technology for Sustainable World|
|State||Published - Nov 1 2016|
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)