Analysis of key factors affecting chili growth and research on predictive data model in the context of smart farms

In the current era of booming smart agriculture, chili cultivation is transitioning from traditional models to intelligent approaches. This study deeply analyzed numerous key factors influencing chili growth, including soil conditions, sunlight duration, temperature range, humidity levels, fertilization strategies, pest and disease control, and variety selection. Through detailed analysis of these factors, their important roles and interrelationships in the chili growth process were clearly defined. A regulatory factor calculation formula was constructed, accurately quantifying the impact of each factor on chili growth and providing a strong basis for scientifically evaluating the growth status of chili. Based on the above research findings, a chili growth prediction data model was established using the multiple linear regression analysis method, providing scientific and reliable decision-making references for chili growers. Thus, it realizes the fine-grained management of chili cultivation, improves the yield and quality of chili, reduces cultivation risks, and vigorously promotes the vigorous development of the chili industry in an intelligent and scientific direction. Although the current research has achieved certain stage results, the chili growth process is complex and variable, and there are still many aspects that need to be further explored and improved. Future research needs to deeply study the synergistic mechanism of factors, optimize the data model, strengthen the transformation of research results, and address the impact of climate change.