  Farms produce hundreds of thousands of data points on the ground daily.
Farming technique which combines farming practices with the insights uncovered
in these data points using AI technology is called precision farming. Precision
farming technology augments and extends farmers' deep knowledge about their
land, making production more sustainable and profitable. As part of the larger
effort at Microsoft for empowering agricultural labor force to be more
productive and sustainable, this paper presents the AI technology for
predicting micro-climate conditions on the farm.
  This article is a chapter in publication by Food and Agriculture Organization
of the United Nations and International Telecommunication Union Bangkok, 2021.
This publication on artificial intelligence (AI) for agriculture is the fifth
in the E-agriculture in Action series, launched in 2016 and jointly produced by
FAO and ITU. It aims to raise awareness about existing AI applications in
agriculture and to inspire stakeholders to develop and replicate the new ones.
Improvement of capacity and tools for capturing and processing data and
substantial advances in the field of machine learning open new horizons for
data-driven solutions that can support decision-making, facilitate supervision
and monitoring, improve the timeliness and effectiveness of safety measures
(e.g. use of pesticides), and support automation of many resource-consuming
tasks in agriculture. This publication presents the reader with a collection of
informative applications highlighting various ways AI is used in agriculture
and offering valuable insights on the implementation process, success factors,
and lessons learnt.
