TlatFarm : Technologies Live At The Farm

Manually inspecting crops for pests, diseases, and nutritional status across vast fields is labor-intensive and time-consuming.

Even with satellite or general drone imagery, continuous operation is challenging due to battery replacement/charging issues, and interpreting the images requires expertise. Furthermore, the poor power/communication infrastructure in rural areas limits the application of advanced agricultural technologies.

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TlatFarm employs autonomous drones equipped with multispectral cameras to periodically fly over farmland, capturing crop images in various bands such as RGB, NDVI, and IR[112]. These data are analyzed by AI models to identify early signs of pests, nutrient imbalances, and water stress, and to predict optimal harvest times[112].

In particular, the solar-wind hybrid smart pole, erected in the middle of the field, doubles as a drone landing pad for wireless charging and data relay. This allows drones to automatically return to the charging station without external power or human intervention, recharge, and resume their mission[114]. This innovation eliminates the need for battery replacement personnel, enabling 24-hour drone operation.

The system is designed to withstand harsh outdoor environments, enabling operation in deserts, highlands, and other challenging terrains[113]. A user-friendly dashboard allows farmers to easily monitor crop data and receive prescriptions (e.g., pesticide spraying locations) on their mobile devices or PCs[113].

This is a B2B solution primarily targeting agricultural corporations cultivating large-scale crops and smart farm operators. It can also be adopted under government agricultural technology dissemination programs (B2G) or by agricultural cooperatives to support individual farms (B2B2C).

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Precision Ag is a growing sector worldwide, making TlatFarm competitive in the global smart farm market.

Its strengths in unmanned operation and eco-friendly power usage make it appealing to agriculture in developing countries with inadequate power grids. In the future, it can evolve into an agricultural SaaS platform utilizing accumulated data, or the technology can be repurposed for other industries (forest management, solar panel inspection, etc.).

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It garnered significant attention at CES as an example of agriculture and AI convergence, with the assessment that "it has automated both the eyes and hands of the field." In particular, the drone wireless charging solution was recognized as a remarkable achievement in solving a technical challenge and received considerable attention[112][114].

However, there are concerns about the reliability in actual large-scale fields (drone's response to bad weather, maintenance, etc.) that require further on-site verification. Nevertheless, it is predominantly viewed as a solution perfectly tailored to the agricultural sector's concerns about labor shortages and climate response, with a bright market outlook.