Consider the following statements regarding Precision agriculture.1. P...
Precision agriculture is basically the ‘right-input’ at the ‘right-time’ in the ‘right-amount’ at the ‘right-place’ and in the ‘right-manner’ for improving productivity, conserving natural resources and avoiding any ecological or social tribulations.
Today, precision agriculture is harnessing the power of artificial intelligence (AI). IoT, satellite imagery, drones, Web-GIS frameworks, Big Data, cloud and machine learning are expected to improve global agricultural productivity in the near future.
But to arrive at these desired results, huge amounts of data collation is required. Environmental data, through technological intervention, has already fuelled better farming techniques in developed countries.
Sensors and analysis tools can boost crop yield. In order to do this, environmental data is collected in the geospatial format to measure quantifiable variables like weather, soil moisture, volumetric soil temperature, fertiliser rates, water run-off, agrochemicals movement and rain.