4 research outputs found
Time dependent deformations during tunnelling and stability of tunnel faces in fine-grained soils under groundwater
No full textExpedient synthesis of α,α-dimethyl-β-hydroxy carbonyl scaffolds via Evans’ aldol reaction with a tertiary enolate
No full textMonitoring
No full textThe first requirement for successful implementation of precision agriculture in the plant production sector is to measure and map within-field spatial and temporal variability. This can be achieved by means of two main sensing categories, namely, remote sensing and proximal sensing, for characterizing both soils and crops. Each of these two categories has advantageous and shortcomings. This chapter discusses the potential of different sensing technologies to characterize within-field variability of soils and crops, by providing high sampling resolution data necessary for site-specific management of farm input resources (e.g., fertilizers, water for irrigation, seeds and pesticides). Each of the sensing methods presented are discussed in terms of (1) a brief introduction of a technology, (2) list of properties and associated accuracy and practicality and (3) application case studies for agricultural management
