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) …

Digital agriculture involving different tools and management practices has advanced
considerably in recent years, intending to overcome climate risk and reduce food insecurity …

Smart agriculture integrates key information communication technologies with sensing
technologies to provide effective and cost-efficient agricultural services. Smart agriculture …

The constant advances in agricultural robotics aim to overcome the challenges imposed by
population growth, accelerated urbanization, high competitiveness of high-quality products …

The information that crops offer is turned into profitable decisions only when efficiently
managed. Current advances in data management are making Smart Farming grow …

Digital agriculture offers far‐reaching opportunities for accelerating agricultural
transformation. Based on empirical evidence and guided by economic theory, this study …

Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

While there is a lot of literature from a natural or technical sciences perspective on different
forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics …

Throughout human history, agriculture has undergone a series of progressive
transformations based on ever-evolving technologies in an effort to increase productivity and …

Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …