Use of a natural language processing bot for agricultural water management

Mediterranean areas “such as the central zone of Chile” have faced severe limitations in water availability for irrigation due to a combination of various factors such as unsustainable industry use and climate change. Several strategies have been developed to overcome this problem, such as using physiological measurements to estimate plant water status. However, these measurements are time-consuming, destructive, and require trained personnel. A fast-response and easy to understand tool is needed to optimize the use of irrigation water in a simple and fast way and to generate management strategies according to the current needs of the crops. This paper proposes the development of a natural language telegram bot capable to generate recommendations about water use according to meteorological information. The farmer must use this framework to increase water resources efficiently. Also, this tool provides a simple platform to mitigate water scarcity for free.