46results about How to "Learn about growth" patented technology

The invention provides an intelligent indoor plant cultivating device based on the internet of things. The intelligent indoor plant cultivating device comprises a temperature and humidity sensor, a camera, an LED light emitting module, a support rod, a flowerpot, a plant grower, an electric water pump, a power module, a control module, a control panel, a radio-frequency emission module and a WIFI module; nutrient solutions and water needed by plant growth are stored in the flowerpot, the plant grower is arranged above the flowerpot, the lower end of the plant grower is located in the nutrient solutions and water, a water outlet pipe of the electric water pump is communicated with a through hole formed in the upper portion of the plant grower, software of multiple plant growth schemes is installed in the control module, the control module is connected to the LED light emitting module and the electric water pump, and the control panel is connected with the control module. The invention further provides an indoor plant cultivating method by means of the intelligent indoor plant cultivating device. The intelligent indoor plant cultivating device based on the internet of things and the cultivating method have the advantages that the plant growth situations can be visually understood at any time through the internet of things.

The invention relates to an intelligent planting box. The intelligent planting box comprises a soil layer, a straw layer and a control layer, wherein the straw layer is arranged under the soil layer; the soil layer is provided with at least one sensor and a water seepage tube which is mounted in the bottom of the soil layer; the control layer comprises a control module and an electric water pump; and the control module is connected with the sensor and the electric water pump separately, and the water seepage tube is connected with the electric water pump. The intelligent planting box provided by the invention can control the soil humidity in real time, can automatically realize water transportation when the humidity is insufficient, adopts a flow-splitting and irrigating mode from top to bottom to uniformly irrigate, comprehensively monitors factors that affect the crop growth in real time, is high in intelligent degree, and can be suitable for planting of indoor farms and homes.

The invention discloses a live pig health and live-or-die state monitoring system and method based on real time physiological parameters; the system comprises an ear tag module, a pig house environment monitoring module, a wireless signal transmission module, and a cloud computing data management center; the ear tag module and the pig house environment monitoring module are respectively connectedwith the wireless signal transmission module; the wireless signal transmission module is connected with the cloud computing data management center; the cloud computing data management center also comprises a data processing module, a data analysis module, a storage management module and an early warning module. Compared with the prior art, the monitoring system can accurately obtain live pig physiological parameter indexes in real time, can analyze the parameters so as to learn the living habits and determine the growth conditions of the live pigs, and can properly improve the live pig growthenvironment; the system realize health cover insurance in the live pig growth cycle via the live pig physiological parameter monitoring big data, thus forming effective connections among monitoring departments, farmers and the insurance companies, effectively controlling the latent epidemic situation generation and expansion, and reducing the accident risks of the farmers in the culturing process.

The invention discloses a plant floating island for restoring a water body and a manufacturing method for the plant floating island. The plant floating island consists of a floating island frame, a plant carrying raft, a plant fixing device and a floating island positioning device, wherein the edge of the plant carrying raft is tightly connected with the floating island frame; the plant fixing device is used for firmly fixing a root system of a plant and a neck close to the root of the plant below the plant carrying raft to keep the root system of the plant immersed in water; the floating island positioning device is used for fixing the floating island frame relative to a water bottom or a water edge; the floating island frame is made of an annular hollow sealed rigid structural pipe, and buoyancy generated by the floating island frame is higher than the total weight of the floating island; the plant carrying raft is a high-strength structural net, and the edges of the high-strength structural net are firmly tensioned and connected to the floating island frame; the plant fixing device is a high-strength net bag or a rigid net cage; and the floating island positioning device comprises an anchor and a rope. The plant floating island has the characteristics of low investment, is easy to manufacture and simultaneously has the advantages of long service life and convenience for later-stage maintenance and management.

The invention discloses an intelligent agricultural planting environment monitoring method based on big data and Internet of Things, and a cloud monitoring platform. The method comprises the steps of: detecting the air humidity, temperature, carbon dioxide concentration, nutrient solution height, illumination intensity and nutrient solution element concentration; comparing the collected data with corresponding standard data; calculating a fruit and vegetable growth influence coefficient, a nutrient solution supplement proportion coefficient and a nutrient solution supplement amount; supplementing a nutrient solution in each water culture box according to the nutrient solution supplement amount; and displaying the fruit and vegetable growth influence coefficient and the nutrient solution supplement amount, Thus, managers can intuitively know the influence effect of environmental parameters in a greenhouse on fruit and vegetable growth in the water culture boxes; the monitoring and analysis efficiency of the environment where the fruits and vegetables in the water culture boxes are located is improved. The method has the advantages of high reliability and high accuracy, can calculate the nutrient solution supplement amount according to a nutrient solution supplement coefficient, and provides beneficial growth environment for culturing the fruits and vegetables in the water culture boxes.

The invention discloses an intelligent pasture system which comprises pasture, a central processing unit, a temperature control device, a humidity device, a tracking device, a light supplementing device, and an energy source device. The pasture comprises a semi-closed feeding shed and a meadow, the light supplementing device comprises multiple LED lamps, an illuminance detector and a third controller, and the energy source device provides electricity to the central processing unit, the humidity device, the temperature control device, an excrement treatment device and the light supplementing device. By the intelligent pasture system, the environment-friendly organic modernized large pasture is built, the pasture is integrated with natural environment, and continuable development, environment-friendly development and intelligentized development of the pasture are realized.

The invention relates to the technical field of unmanned aerial vehicles, in particular to an agricultural unmanned aerial vehicle. The agricultural unmanned aerial vehicle comprises a vehicle body, arange spraying device, an integrated controller, a high-definition camera and a remote controller. A control system and an infrared receiving module are arranged in the vehicle body, and the range spraying device is fixedly mounted on the vehicle body and comprises an agricultural pesticide box, a solenoid valve, a spray rod and a spray head. The spray head is connected with the agricultural pesticide box through a pipeline. The infrared receiving module is embedded into the remote controller. The agricultural unmanned aerial vehicle has the beneficial effects that the spraying range can be effectively controlled through the telescopic spray rod, farmland can be patrolled multiple times by the camera, farmers can be helped to learn the grain growth situation more accurately, thus pesticides can be sprayed more pointedly to control pests or weed, downward airflow is generated through rotor wings, crop leaves are disturbed, and the liquid pesticides can be permeated more easily.

The invention discloses a method for using a fish breeding raft structure for raising, observing and collecting. The raft structure comprises a raft body and a throwing device; the raft body comprisesa bottom surface and four side walls; the raft structure also comprise first floaters, second floaters and an air compressor; the first floaters are arranged on the side walls of the raft body and are used for ensuring the floating of the raft structure after water enters the raft body; the second floaters are arranged on the bottom surface of the raft body, can be inflated and deflated, and areused for controlling the floating and sinking of the raft structure; and the air compressor is connected with the second floaters through inflating pipes and is used for inflating. The principle of the method is to realize the feeding of fish through controlling the floating and sinking of the raft structure. The body characteristics of the fish can be observed at a short distance while the fish is fed, and excrement or fish scales of the fish can be collected after the feeding is finished, so that the growth condition of the fish is known, and the problem can be found at the early stages of fish diseases. In addition, the excrement of the fish can be collected for testing, the destruction to the water quality by feed residues is reduced, and the survival rate of fish stocks and fry is improved, so that the method is suitable for promotion.

The invention discloses a method for calculating the number of wheat grains based on image identification. The method comprises the following steps: S1, obtaining a wheat field image, and carrying out grey processing on the wheat field image; S2, capturing wheat grain images according to the wheat field image, and vertically arranging the wheat grain images, wherein each wheat grain image only contains one wheat grain; S3, setting an experience threshold; S4, calculating the texture features of the wheat grain images, and splitting the wheat grain images according to the experience threshold so as to obtain split images, wherein the wheat grains and the background are displayed in a distinguishing manner in the split images; and S5, counting the number of the wheat grains according to the split images. According to the method, wheat grain images are captured from the images obtained in real time, and the number of the wheat grains is automatically calculated, so that a quicker and more intelligent method is provided for estimating the wheat yield, the wheat yield is estimated more accurately, and the wheat growth situation is known more clearly.

The embodiment of the invention relates to the technical field of agricultural Internet of Things and discloses a plant cultivation experiencing method, device and system. The plant cultivation experiencing method comprises the following steps: acquiring information of a seed selected by a user, wherein the seed information includes a unique identifier of the seed; sending the information of the seed to an offline agricultural system, and planting the seed in a true environment by the offline agricultural system according to the information of the seed; acquiring growth information of the seedcorresponding to the information of the seed from the offline agricultural system; and informing the user of viewing the growth information of the seed, wherein the growth information includes growthpictures and/or growth environment information. According to the plant cultivation experiencing method, the true plant growth period and growth environment information can be known by the user.

The invention relates to the technical field of agricultural greenhouses, in particular to an intelligent greenhouse system on the basis of big data. The intelligent greenhouse system comprises a control device. A temperature sensor is electrically connected with an input end of the control device, a humidity sensor is electrically connected with the input end of the control device, an illumination intensity sensor is electrically connected with the input end of the control device, a CO2 concentration detector is electrically connected with the input end of the control device, a soil humiditysensor is electrically connected with the input end of the control device, a monitoring device is electrically connected with the input end of the control device, a mist spray device is electrically connected with an output end of the control device, a ventilation device is electrically connected with the output end of the control device, a heating device is electrically connected with the outputend of the control device, a light supplementing device is electrically connected with the output end of the control device, a CO2 supplementing device is electrically connected with the output end ofthe control device, and a humidification device is electrically connected with the output end of the control device. The intelligent greenhouse system has the advantage that the intelligent greenhouse system is simple in structure and worthy of being popularized.

The invention discloses a Taihe black-bone chicken breeding monitoring system based on the Internet, comprising a breeding room frame, a first chicken cage, a second chicken cage, and a third chicken cage. The breeding room frame is fixedly mounted on the ground, and a curved roof is fixedly mounted on the top of the breeding room frame. The curved roof is equipped with lighting lamps, disinfection nozzles and a camera at the bottom. The first chicken cage, the second chicken cage and the third chicken cage are arranged in the breeding room frame in sequence from inside to outside. According to the Taihe black-bone chicken breeding monitoring system based on the Internet, the camera enables the staff to have a clear understanding of the growth condition of chicken in the chicken coop in front of a breeding farm monitoring center computer, and facilitates management of the chicken coop. Meanwhile, the staff can learn and develop the black-bone chicken breeding technology by observing the video of black-bone chicken growth, which is conducive to black-bone chicken breeding in the later period. The Taihe black-bone chicken breeding monitoring system based on the Internet is highly practicable, and easy to popularize.

The invention discloses an indoor crop planting management system. Multiple humidity sensors (10) are arranged in a planting area. A solenoid valve I (2) is arranged between a main pipeline and a liquid fertilizer pressure tank (6). A solenoid valve II (3) is arranged between the main pipeline and pressure water (7). A solenoid valve III (4) is arranged between the main pipeline and a compressed air tank (8). The humidity sensors and a wireless communication module I are connected with a microprocessor module (9). The microprocessor module is connected with electromagnetic shunt valves (5) on branch pipelines, the solenoid valve I, the solenoid valve II and the solenoid valve III through a circuit. The wireless communication module I wirelessly transmits data to a wireless communication module II connected with a PC (14). By adopting the indoor crop planting management system, moisture and nutrients can be replenished instantly for crops as needed, the labor and resources are saved, management is convenient, information can be stored directly, management personnel can know the growth environment of crops in real time without frequently entering the planting area, and normal growth of crops is ensured.

The invention relates to the technical field of unmanned aerial vehicle information collection, in particular to an unmanned aerial vehicle remote sensing information collection method and device, and the device comprises a terminal which generates a navigation route according to a selection instruction and sends the navigation route to a controller, the controller that controls the unmanned aerial vehicle to sail according to the sailing route, the unmanned aerial vehicle provided with a lifting rod and a driving mechanism, a detector fixedly arranged on the lifting rod and sending out a first signal when entering the land, a plate body connected to the lifting rod in a sliding mode, and being able to float on farmland crops, and a distance measuring piece that collects a distance value between the detector and the distance measuring piece when the detector sends out the first signal; the controller is further used for controlling the unmanned aerial vehicle to hover when the unmanned aerial vehicle arrives at the collection node and sending a landing instruction to the driving assembly, and the driving assembly drives the lifting rod to land in the first direction. The crop height acquisition device has the effect of acquiring the crop height of the farmland so as to know the crop growth condition of the farmland.

The invention provides a movable agricultural cultivation device with a temperature control function. The movable agricultural cultivation device with the temperature control function comprises a device body and a cultivation chamber; and the cultivation chamber is formed in the left side of the device body. According to the movable agricultural cultivation device with the temperature control function, by arranging the cultivation structure, when crops on the device need to be observed, the whole movable frame can be pulled out, so that cultivation trays on all layers are directly exposed in the external environment, due to the fact that the front side, the rear side and the left side of the movable frame are in the open state, at the moment, a worker can carefully observe the crops from multiple directions, and the crops on each layer of cultivation trays can be clearly observed; and compared with a traditional cultivation device, the cultivation trays do not need to be pulled outwards one by one for observation, operation is very easy, furthermore, the movable frame is pulled to the external environment, the light and the visual field are excellent, and therefore, a worker can be better helped to know the growth conditions of crops.

The embodiment of the invention discloses a farmland freezing damage monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-monitored target farmland image; determining a first normalized vegetation index corresponding to each pixel position in the target farmland image based on a pre-stored satellite image; wherein the satellite image is an image containing crop information of the target farmland area; and obtaining target meteorological data of the target farmland area, and determining whether the target farmland area is subjected to freezing damage based on the first normalized vegetation index corresponding to each pixel position in the target farmland image and the target meteorological data. According to the technical scheme of the embodiment of the invention, whether the target farmland area is subjected to freezing damage can be determined without manual field investigation, the monitoring efficiency is improved, and the growth condition of crops can be quickly and accurately known.

The invention discloses a pig house with a function of monitoring growth conditions in the field of livestock breeding. The pig house comprises a display, a processor and a plurality of breeding houses, the breeding houses comprise rear walls, front guard railings and side walls, the bottom ends of the guard railings are fixedly connected with food troughs, and the food troughs are close to one ofthe side walls of the breeding houses; the side walls of the breeding houses are connected in sequence, weighbridges are arranged beside the food troughs, the weighbridges are located in the breedinghouses and rotatably connected with the side walls of the breeding houses, fixed pulleys are fixedly connected to the side walls which are connected with the weighbridges, motors are arranged below the fixed pulleys, the motors are fixedly connected with the side walls, the output shafts of the motors are fixedly connected with rollers, traction ropes are wound around the rollers, the ends, awayfrom the rollers, of traction ropes bypass the fixed pulleys and are fixedly connected to the ends, away from the side walls, of the weighbridges, the traction ropes are in sliding contact with the fixed pulleys, the weighbridges are electrically connected with the processor, and the processor is electrically connected with the display. The pig house solves the problem of time and effort consumingin the weighing of bred pigs.