Potential of Goniometry and Goniophotometry for Precision Agriculture Applications

Resumen

Objective: To review the application of goniometry and goniophotometry as innovative tools for advancing precision agriculture. The primary objective is to synthesize how these techniques contribute to optimizing light interception, enhancing crop yield, and improving land-use efficiency by providing precise data on plant architecture and light dynamics within cultivation systems. Design/methodology/approach: The research employs a systematic review methodology, analyzing existing scientific literature and case studies where goniometry and goniophotometry have been applied in agricultural contexts. Goniometry is used for measuring the angular dispositions of plant elements like leaves and stems, while goniophotometry characterizes light distribution and incidence angles. The approach focuses on integrating data from both techniques to inform adjustments in crop canopy architecture and artificial lighting systems. Results: The review demonstrates that the integration of goniometric and goniophotometric data enables the determination of optimal light incidence angles. This facilitates strategic adjustments to planting layouts and canopy management, leading to significant enhancements in photosynthetic efficiency. Consequently, studies report improvements in overall crop yield and a more efficient use of available land and light resources in diverse cultivation environments, from greenhouses to open fields. Limitations of the study/implications: The primary limitations discussed involve the technical complexity and cost associated with the specialized equipment required for these measurements. Furthermore, the practical implementation of findings can be constrained by the need for specialized knowledge to interpret data and integrate it into existing farm management systems, potentially limiting accessibility for widespread adoption. Findings/Conclusions: Goniometry and goniophotometry are powerful, though underutilized, tools that provide a scientific basis for optimizing agricultural systems. Their application offers significant advantages for enhancing photosynthetic performance and spatial planting efficiency. While challenges related to cost and complexity exist, the potential of these techniques to contribute to more sustainable and productive precision agriculture is substantial, warranting further research and development of user-friendly applications.