This invention discloses a method for acoustic sensing and directional acoustic control of crops based on a
drone swarm, including constructing an acoustic parameter model of the
crop growth area. This invention abandons traditional chemical pesticides, utilizing sound
waves for
physical control, avoiding environmental
pollution and
pesticide residues, and meeting the needs of green
agriculture development. By using an
acoustic sensor array to penetrate the
crop canopy, it captures the acoustic characteristics and weak physiological signals of
early signs of pests and diseases. Combined with multi-dimensional
environmental data, it solves the problems of obstruction and
lag in optical methods, achieving early intervention with "seeing the subtle signs." Furthermore, it adopts a two-layer
drone swarm architecture of "wide-area patrol + close-
plant precision control." The first layer is responsible for large-area scanning and initial intervention, while the second layer penetrates deep into the
canopy and
plant gaps for directional acoustic compensation, completely eliminating acoustic shadows and
signal blind spots. A spatiotemporal collaborative
algorithm is used to coordinate the timing and location of swarm operations, achieving early
perception, layered intervention, and dynamic optimization of pests and diseases.