Python Driven Software: Enhancing the Growth and Yield of Crop Production

The research project introduces a Python-drive software program designed to assist farmers in optimizing plant cultivation. The program compiles comprehensive data on various plant species, including optimal temperature ranges, base water requirements, pH preferences, and minimum nutritional needs. Farmers can input their local temperature, and the program calculates the specific water requirement for the given plant, ensuring precise irrigation practices for optimal growth. For instance, with a data-set entry for ‘Tomato’ specifying an optimal temperature range of (20, 26) degrees Celsius and a base water requirement of (0.89, 2.31) liters/day, the program accurately computes the water requirement for a farmer experiencing 30 degrees Celsius as 3.2567 liters/day. Additionally, the program suggests the optimal pH range (6.2, 6.8) and the minimum nutritional requirements in grams, providing a holistic approach to plant care. This tool simplifies farming practices globally, offering farmers a centralized resource for accurate, time-efficient, and yield-enhancing crop management, addressing challenges associated with individual parameter management and potential resource inadequacies. The program aims to contribute to increased agricultural productivity while minimizing resource waste.