Oman produces more than a 2, 50,000 tons dates per annum, but still, it is ranked 8th in the world in terms of date productions. They wanted to transform the way they approach their cultivation process and introduce agility to the production and increase productivity, optimize utilization of resources and quality of dates. The Sultanate of Oman has initiated a million date tree plantation and integrated every one of them with GIS and Artificial Intelligence.
Using GIS based survey which consisted of attributes which were essential in the production and quality of the date trees, we captured GPS location of every tree and marked them with allocated Digital codes and geo-tagging them.
Details of the farm, cultivator, tree code and number were compiled. Details of number of fronds, their average length and average birth of the trunk were also captured and stored. Each tree had a unique number and was photographed.
All the data was then stored in a cloud-based Farm ERP system which was integrated with the GIS system.
From Pesticides, water level to temperature all Data was maintained into ERP as each date tree were given different level of inputs to measure and find the right combination.
The dates who quality was category as premium, their parameters were captured and new plantation which was planned using GIS was RESULTS done using above parameters and monitored.
Optimized Irrigation planning which reduced water wastage by 30%.
Tree data analysis and real time insights on tree requirements with respect to water, fertilizer and health, and other attribute this data provided agility to the system which in return helped in making decisions on actionable in real time.
Total production increase by 40% and the quality of the dates also improved.