Agrivoltaics (APV) systems integrate agricultural production with photovoltaic (PV) energy generation, allowing for dual land use. This approach is particularly relevant in tropical regions where land is limited and the demand for both food and energy is increasing.
Recent research conducted in tropical Nigeria on Vigna radiata (mungbean) genotypes has demonstrated that APV systems can significantly enhance crop yields. The study found that:
The APV systems regulate microclimate conditions by:
The scalability of agrivoltaics in tropical regions is promising due to:
The integration of agrivoltaics systems in tropical regions presents a sustainable solution to the dual challenges of food security and renewable energy generation. Continued research and development are essential to optimize these systems for various crops and environmental conditions.
import pandas as pd import matplotlib.pyplot as plt data = { 'Genotype': ['Tvr18', 'Tvr28', 'Tvr65', 'Tvr79', 'Tvr83'], 'WPV': [0.832, 0.827, 0.839, 0.825, 0.82], 'EPV': [0.833, 0.827, 0.835, 0.832, 0.825], 'NPV': [0.821, 0.812, 0.828, 0.823, 0.803] } df = pd.DataFrame(data) plt.figure(figsize=(10, 6)) for column in df.columns[1:]: plt.plot(df['Genotype'], df[column], marker='o', label=column) plt.title('Maximum Photochemical Efficiency of Mungbean Genotypes') plt.xlabel('Genotype') plt.ylabel('Efficiency') plt.legend() plt.grid() plt.show()