The evolution of agricultural machinery can be traced back to ancient agricultural tools. Ancient agricultural tools were the earliest tools used by humans in the process of agricultural production, including simple tools like plows, harrows, and hoes. These ancient agricultural tools primarily relied on human or animal power, resulting in low efficiency and high labor intensity, limiting the scale and efficiency of agricultural production.

With the rise of the Industrial Revolution, power machinery began to be widely used in agriculture. The invention of the internal combustion engine made agricultural mechanization possible, leading to the emergence of various agricultural machinery such as tractors, harvesters, and irrigation equipment. These power machinery significantly increased agricultural production efficiency, resulting in a substantial increase in farmland scale and yield.

With the development of technology, agricultural machinery has entered the era of plant factories. Plant factories utilize modern technology to grow crops in controlled environments, such as indoor agriculture and vertical farming. This approach can increase crop yield, save water, reduce pesticide use, and avoid the impact of weather and seasonal changes on crops.

In recent years, the development of artificial intelligence and big data technology has also begun to play a role in agricultural mechanization. AI data technology can collect, analyze, and apply vast amounts of agricultural data, helping farmers make more accurate decisions. For example, based on meteorological data and soil test results, AI can predict the optimal irrigation and fertilization times, thereby maximizing crop yield and quality.

In summary, agricultural machinery has evolved from ancient manual tools to modern intelligent plant factories and the era of AI data technology. With the continuous advancement of technology, agricultural machinery will continue to develop, bringing more innovation and efficiency improvement to agricultural production. We will organize our report based on aspects such as ancient agricultural tools, power machinery, plant factories, and AI data technology.