In the heart of modern agriculture, a silent revolution is brewing, driven by the marriage of artificial intelligence and traditional farming practices. At the forefront of this innovation is Alain Godo Alonso, whose groundbreaking research on fuzzy logic irrigation models is set to redefine water management in protected cropping systems. While his affiliation remains undisclosed, his work speaks volumes about the potential of AI in agriculture.
Godo Alonso’s research, published in the Journal of Engineering, Technology and Applied Sciences (ITEGAM-JETIA), focuses on creating a fuzzy logic-based model to predict irrigation times for cucumber crops. The model, which uses variables like temperature, soil moisture, and lighting, is designed to optimize water usage, a critical factor in the energy-intensive world of agriculture.
The model’s development is a testament to the power of expert knowledge and advanced technology. “The beauty of fuzzy logic,” Godo Alonso explains, “is that it allows us to incorporate human expertise into the decision-making process. It’s like having a seasoned farmer’s intuition backed by the precision of AI.”
The model was first created and simulated in MATLAB, then transferred to a Raspberry Pi 4 Model B using Python. This transition from simulation to practical application is a significant step towards making AI-driven irrigation systems accessible and affordable for farmers.
The results are impressive. Tests conducted using data from a single crop cycle showed a 10.07% reduction in water usage compared to the standard irrigation methods currently employed by the company “Valle del Yabú”. This reduction in water usage translates to significant energy savings, as pumping and treating water accounts for a substantial portion of a farm’s energy consumption.
The implications of this research are far-reaching. In an era where water scarcity and energy efficiency are pressing concerns, such innovations could pave the way for sustainable farming practices. Moreover, the integration of AI in agriculture could lead to the development of smart farms, where every aspect of farming, from irrigation to pest control, is optimized for maximum efficiency.
As we look to the future, it’s clear that the fusion of AI and agriculture is more than just a trend; it’s a necessity. And with researchers like Godo Alonso leading the way, the future of farming looks greener and more sustainable than ever. The Journal of Engineering, Technology and Applied Sciences (ITEGAM-JETIA) is a great place to read more about this research.
