Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …

Crop type map** at the field level is necessary for a variety of applications in agricultural
monitoring and food security. As remote sensing imagery continues to increase in spatial …

The agricultural sector is undergoing a period of rapid transformation, driven by the powerful
and interconnected impacts of climate change, demographic transitions and uneven …

The emergence of satellite sensors that can routinely observe millions of individual
smallholder farms raises possibilities for monitoring and understanding agricultural …

The farm size and productivity debate has been limited by the focus on land or labor
productivity, generally showing respective productivity advantages to smaller or larger sized …

This paper revisits the decades-old puzzle of the inverse plot-size productivity relationship
(IR), which states that land productivity decreases as plot size increases. While existing …

Accurate crop map** is of great importance for agricultural applications, and deep
learning methods have been applied on multi-temporal remotely sensed images to classify …

This paper revisits the inverse farm size‐productivity relationship in Kenya. The study makes
two contributions. First, the relationship is examined over a much wider range of farm sizes …

Standard measures of productivity display enormous dispersion across farms in Africa. Crop
yields and input intensities appear to vary greatly, seemingly in conflict with a model of …

Recent agricultural development policies have begun to shift focus from the promotion of a
few staple crops toward encouraging crop diversity. The belief is that crop diversification is …