Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …

Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …

The quality and safety of food is an important issue to the whole society, since it is at the
basis of human health, social development and stability. Ensuring food quality and safety is …

Random Forest (RF) is a machine learning technique that has been proved to be highly
accurate in several agricultural applications. However, to yield prediction, how much this …

The use of sensors and the Internet of Things (IoT) is key to moving the world's agriculture to
a more productive and sustainable path. Recent advancements in IoT, Wireless Sensor …

Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …

BACKGROUND Precision weed control in vegetable fields can substantially reduce the
required weed control inputs. Rapid and accurate weed detection in vegetable fields is a …

Advances in computer vision have led to the development of promising solutions for
challenging problems in agriculture. Fruit grading and sorting are complex problems which …

Digitization and greening have become the characteristics of social and economic
development. Digital technology, as a critical enabler of green supply chain management …