The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

The presence of robots in agriculture has grown significantly in recent years, overcoming
some of the challenges and complications of this field. This chapter aims to collect a …

The application of AI in agriculture has been widely considered as one of the most viable
solutions to address food inadequacy and to adapt to the need of a growing population. This …

Estimations of world population growth urgently require improving the efficiency of
agricultural processes, as well as improving safety for people and environmental …

Emerging technology is a crucial approach in the quest for environmentally responsible
farming methods. This research represents an integrated method for transforming farming by …

A number of global issues, including climate change, scarcity of natural resources,
demographics and food waste, are placing pressure on the overall sustainability of …

CONTEXT Technological innovations in agriculture are mainly driven by the maxim:
increase productivity at any costs. Today, in the face of climate change and an …

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary,
integrative overview of latest development in the domain of smart farming. It shows how the …

Concerns over food security have risen sharply in recent years. The growing human
population, coupled with the shrinking agriculture resources, caused many governments …

Abstract The Fourth Industrial Revolution will see the convergence of artificial intelligence
and data technology as a new solution to address industrial and social problems across the …