Problem Definition - Kgothatso001/AgriTech GitHub Wiki

The agricultural industry faces significant challenges in efficiency managing water resources and monitoring crop health across large fields. Traditional methods of weather monitoring and soil moisture assessment are often labour-intensive, time-consuming, and prone to human error. This inefficiency can lead to overwatering or underwatering crops, resulting in wasted resources, increased costs, and potentially lower crop yields.

Inconsistent or inaccurate data on weather conditions and soil moisture levels also makes it difficult for farmers to make informed decisions, which can negatively impact crop health and overall farm productivity. Additionally, the lack of precise, real-time insights hinders the ability to quickly respond to changing environmental conditions, further exacerbating these issues.

The Smart Weather-Integrated Irrigation System-Drone solution addresses these problems by providing accurate, real-time data on weather conditions and soil moisture levels across the farm. This enables farmers to make data-driven decisions, optimizing water usage and ensuring that crops receive the proper care, ultimately leading to increased efficiency, reduced costs, and improved yields in the agricultural sector.