תפריט נגישות
ניגודיות עדינהניגודיות גבוהה
מונוכרום
הדגשת קישורים
חסימת אנימציה
פונט קריא
סגור
איפוס הגדרות נגישות
להורדת מודול נגישות חינם תפריט נגישותניגודיות עדינהניגודיות גבוההמונוכרוםהדגשת קישוריםחסימת אנימציהפונט קריאסגוראיפוס הגדרות נגישותלהורדת מודול נגישות חינםA.M. Mouazen, Thomas Alexandridis, Henning Buddenbaum, Dimitrios Moshou, David Mulla, Said Nawar, Kenneth A. Sudduth
The 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.
Chapter 2
A.M. Mouazen, Thomas Alexandridis, Henning Buddenbaum, Dimitrios Moshou, David Mulla, Said Nawar, Kenneth A. Sudduth
The 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.
Chapter 2
