AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synth

This article draws upon data taken from the following: 18 interviews of Iowa farmers who utilise big data when making farm management decisions; 14 interviews of those engaged within big data industry, those involved in the sale and promotion of larg

Information and communication technologies (ICTs) have the potential to reach many farmers with timely and accessible content. This article highlights the importance of ICTs in promoting agricultural transformation. It recommends the establishment of

Agriculture plays the major role in economics and survival of people in India. The purpose of this project is to provide embedded based system for soil monitoring and irrigation to reduce the manual monitoring of the field and get the information via

The study assessed how ICTs can enhance access to agricultural information needed for fostering agricultural production and agribusiness in Tanzania. Specifically, the study determined the role of specific ICTs in agricultural production and agribusi

The main goal of ICTforAg is to foster communities, stimulate meaningful conversations, insights, and collaborations, and increase the participation of collaborators from the developing world. Our aim is to facilitate knowledge exchange, enhance lear