Abstract
To realize the regulation of the position of corn seed planting in precision farming, an intelligent monitoring system is designed for corn seeding based on machine vision and the Genetic Algorithm-optimized Back Propagation (GABP) algorithm. Based on the research on precision positioning seeding technology, comprehensive application of sensors, Proportional Integral Derivative (PID) controllers, and other technologies, combined with modern optimization algorithms, the online dynamic calibration controls of line spacing and plant spacing are implemented. Based on the machine vision and GABP algorithm, a test platform for the seeding effect detection system is designed to provide a reference for further precision seeding operations. GA can obtain better initial network weights and thresholds and find the optimal individual through selection, crossover, and mutation operations; that is, the optimal initial weight of the Back Propagation (BP) neural network. Field experiments verify the seeding performance of the precision corn planter and the accuracy of the seeding monitoring system. 1. The deviation between the average value of the six precision positioning seeding experiments of corn under the random disturbance signal and the ideal value of the distance is less than or equal to 0.5 cm; the deviation between the average value of the six precision positioning seeding experiments of corn under the sine wave disturbance signal (1 Hz) is less than or equal to 0.4 cm; the qualified rate of grain distance reaches 100%. 2. The precision control index, replay index, and missed index of the designed corn precision seeding intelligent control system have all reached the national standard. During the operation of the seeder, an alarm of the seeder leaking occurred, and the buzzer sounded and the screen displayed 100 times each; therefore, the reliability of the alarm system is 100%. The intelligent corn seeder designed based on precision positioning seeding technology can reduce the seeding rate of the seeder and ensure the stability of the seed spacing effectively. Based on the machine vision and GABP algorithm, the seeding effect detection system can provide a reference for the further realization of precision seeding operations.
Highlights
Agriculture is the main industry of China and one of its economic pillars
Based on the machine vision and Genetic Algorithm-optimized Back Propagation (GABP) algorithm, the seeding effect detection system can provide a reference for the further realization of precision seeding operations
Precision positioning corn seeding refers to the seeding technology that uses precisely positioned corn seeding machines to place corn seeds in the soil in a fixed amount according to the precise row spacing, plant spacing, and seeding depth according to the requirements of modern agronomy
Summary
Agriculture is the main industry of China and one of its economic pillars. Due to factors such as climate change, population growth, and food security, the agricultural sector needs more innovative methods to increase its crop yields [1, 2]. With the steady rise of artificial intelligence (AI) technologies, relevant applications have gradually penetrated the entire process of agricultural production. Among AI technologies, machine learning, computer vision, big data analysis, and cloud computing are the most widely used ones. As an important food crop and cash crop in China, corn is widely distributed and covers the main food-producing areas in China [3,4,5].
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