It combines AI and intelligence hardware and IOT purposely to help farmers to practice precision farming. It collects soil and weather data from the soil sensors and some of the local weather stations that they have deployed which help to give farmer

The AgroSense system is comprised of a wireless network of small meteorological stations and other measuring equipment. It is an easy-to-install, accurate and reliable solution to collect high-resolution data such as soil moisture, leaf wetness, etc.

The dataset includes detailed field experiments from four locations across a temperature gradient along the River Nile. The data covering four contrasting environments from North (low temperature) to South (high temperature), includes Sakha (North de

Field data from six experiments covering a wide range of growing conditions were organized for tef growth and cropping systems modeling. The data included (i) an irrigation experiment in the Tigray region of Ethiopia, (ii) a cultivar trial at Fallon,

Approximately 7,600 wheat plots were surveyed and geo-tagged in the 2017-18 winter or rabi season in Bihar and eastern Uttar Pradesh (UP) in India to capture farmers’ wheat production practices at the landscape level. A two-stage cluster sam

Several cotton experiments have been conducted at the University of Arizona's Maricopa Agricultural Center from which datasets have been obtained documenting cotton responses to elevated CO2 concentrations, water supply, nitrogen fertilizer, and plan