The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Weeds pose a major challenge in achieving high yield production in corn. The use of
herbicides although effective can be expensive and their excessive use poses ecological …

Precision agriculture (PA) is a collage of strategies and technologies to optimize operations
and decisions in farms by using spatial and temporal variabilities in yield, crops, and soil …

Severe crop defoliation caused by insects and pests is linked to low agricultural productivity.
If the root cause is not addressed, severe defoliation spreads, damaging whole crop fields …

Smart agriculture benefits from unmanned aerial vehicles (UAV), and in-field sensors to
collect data used to make responsible crop management decisions which sustainably …

Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

Digital agriculture, hailed as the fourth great agricultural revolution, employs software-driven
autonomous agents for in-field crop management. Edge computing resources deployed …

The transition to renewable production and smart grids is driving a massive investment to
battery storages, and reinforcement learning (RL) has recently emerged as a potentially …

The increasing use of unmanned aerial vehicles (UAVs) in both military and civilian
applications, such as infrastructure inspection, package delivery, and recreational activities …

Control firmware in unmanned aerial vehicles (UAVs) uses sensors to model and manage
flight operations, from takeoff to landing to flying between waypoints. However, sensors can …