Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …

In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …

Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …

Accurate crop type mapping provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …

Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …

Root zone soil moisture (RZSM) estimation and monitoring based on high spatial resolution
remote sensing information such as obtained with an Unmanned Aerial System (UAS) is of …

Sugarcane is a major crop for sugar and ethanol production and its area has increased
substantially in tropical and subtropical regions in recent decades. Updated and accurate …

Urban areas feature complex and heterogeneous land covers which create challenging
issues for tree species classification. The increased availability of high spatial resolution …