Our primary focus area, the technologies developed by Pragbotix are mainly for use within the precision agriculture field. As we are based in Malaysia, a country located in South East Asia, with a strong history of agriculture, our expertise lies in the crops and commodities grown in the region, as well as other forms of agriculture, such as aquaculture and animal husbandry.
While catching fish and other aquatic food animals has been an industry as old as civilization, modern seafood farming, or aquaculture, seeks to reduce the impact on fish stocks by breeding fish and other seafood in controlled areas. Pragbotix has solutions that allow aquaculture concerns to see what is happening in their ponds in real-time, and this allows for quick interventions to save at-risk ponds. Future applications include better control of inputs such as water from source, feed, and oxygen content, and pond management to reduce costs.
The worlds’ largest commodity crop for oils and fats, palm oil is the most important export crop in South East Asia, especially for Malaysia and Indonesia, the main global suppliers. Millions of hectares of palm oil are grown in these two countries (and in some African and South/Central American countries as well) and at this scale, plantation data is important so as to improve plantation efficiencies as well as potentially finding ways to improve yields with minimal interventions. A mix of aerial and ground data allows Pragbotix to inform plantation owners and managers about the current performance of their land, and with predictive analytics, future outcomes can be planned. Labour is always an issue for agriculture at scale and with the introduction of automated technologies, plantation companies can further improve the performance of their plantations at lower costs.
Although grown on smaller scales, other commodity and food crops, as well as fruits and vegetables, are an important vertical within precision agriculture. The technologies already developed by Pragbotix can easily be used to support farmers and growers to better understand their farms and utilize IoT and big data analytics to increase production.