Читать книгу The Digital Agricultural Revolution - Группа авторов - Страница 35

Artificial Intelligence helps the farmers to determine the appropriate crop production in a favorable climate. An AI-based machinery helps in sowing crops at equidistant intervals and optimal depths. For example, in Andhra Pradesh, AI-powered sowing mobile application helps the farmers to increase the yield by about 30% per hectare [39]. The pilot farming was launched with the combined effort of Microsoft and ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) and was implemented in the Kurnool district in 2016. Machine learning with business intelligence tools helped the farmers and Government to use digital technologies with the dashboard providing SMS for seed sowing, optimal seed depth, land preparation, and weed management [6].

Figure 1.7 The lifecycle of the agriculture process.