Agriculture Production Optimization
摘要
Agriculture is an efficient field exclusively in rapidly rising nations like India. Agriculture and farming are the main sources of income in India. It is also called a country of farmers. In India, the majority of people work in agriculture. Various factors contribute to agricultural activities; soil is one of them which helps to increase the quantity of crops. Utilizing historical datasets in agriculture can change how decisions are made and increase farmer productivity. While farming contributes only 18% of India’s GDP, but still it is the primary income source for a significant section of the country’s population. The lack of appropriate decision-making on yield forecasts by farmers is one plausible cause. There is no system in place to guide farmers in selecting the right plants. This paper also considers regulatory mechanisms and audits of water resources which have always played a pivotal role in agriculture optimization. Water scarcity and extreme weather occurrences, such as floods and droughts, are major obstacles to the water management widely used in agriculture. This work examines a unique strategy combining blockchain, WSN, and IoT technologies to address these issues. The primary output of the suggested approach is to enhance the drought and flood management techniques’ effectiveness, transparency, and resilience. Sensors have been thoughtfully situated in strategic locations to continuously monitor vital metrics like soil moisture, water levels, and weather conditions that make up the IoT and WSN components to improve overall agriculture production.