4078 results about "Crop growth" patented technology

A computer implemented system for a vertical farming system comprising at least a first crop growth module and operating in an environmentally-controlled growing chamber, the control system comprising sensors for measuring environmental growing conditions in the environmentally-controlled growing chamber over time to generate environmental condition data, a device configured for measuring a crop characteristic of a crop grown in the crop growth module of the environmentally-controlled growing chamber to generate crop growth data and a processing device comprising software modules for receiving the environmental condition data and the crop growth data; applying an algorithm to the environmental condition data and the crop growth data to generate an improved environmental growing condition and generating instructions for adjustment of the environmental growing conditions in or around the growth module in the environmentally-controlled growing chamber to the improved environmental growing condition.

A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

The invention relates to a bio-organic compound fertilizer, which comprises the following components in part by weight: 10 to 30 parts of organic matter, 2 to 10 parts of compound microbial inoculants, 5 to 20 parts of humic acid, 5 to 20 parts of amino acid, 4 to 10 parts of chitin, 1 to 5 parts of polypeptide, 530 parts of nitrogen, phosphorus and potassium, 5 to 10 parts of secondary and trace elements, 5 to 15 parts of algae fertilizer, 5 to 10 parts of zeolite powder and 1 to 5 parts of synergistic agent. Through the scientific and rational formula, the bio-organic compound fertilizer achieves nutritive equilibrium and can satisfy the need of crop growth in nutrient. The microbial inoculants are added to quickly degrade natural macromolecular organic compounds into the organic fertilizer and decompose organic pollutants, which effectively improves the capacity of crops in the absorption of nutrient components, reduces the waste of the fertilizer and reduces the damage of the chemical fertilizer to soil to further achieve the nutritive equilibrium, satisfy the need of the crop growth in the nutrient, achieve the aims of low investment and high output value, improve the quality of the crops and improve the economic benefit brought by the crops.

A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.

The invention applies to the tea crop production, which can improve the soil structure and provide adequate moisture, oxygen and nutrition to improve the yield and quality in tea crop cultivation. The invention relates to a liquid fertilizer containing microorganisms, organic matters and inorganic matters. The fertilizer adopts biological technology and electrolysis technology which complement each other, takes micro-organisms and mineralized substances as additive, as well as combines with nutritional formula (nitrogen, phosphorus, potassium, sulfur, magnesium, calcium, silicon, boron, zinc, iron, molybdenum, bacterial protein, amino acid, humus, plant nucleic acid, B vitamins, active enzymes and unknown factors which promote crop growth), so as to provide adequate nutrition for crops and improve soil to make the soil conducive to tea crop cultivation. Through biotechnology, the micro-organisms in a dormant state are added to the fertilizer and are activated under favorable environmental conditions to decompose the animal and plant residues, pesticides, fertilizers, heavy metal residues and minerals in the soil so as to change the contents of nitrogen, phosphorus and potassium. Through electrolysis technology, the mineralized substance additive enables the soil to produce a chain reaction to moisture and oxygen supply, so as to gradually change the ion charge in the soil, increase the soil oxygen supply amount, improve the moisture infiltration capacity and strengthen the conditions for microbial activities.

A biochar-based coast saline-alkali land improvement conditioner and a preparation method and application thereof are disclosed, the biochar-based coast saline-alkali land improvement conditioner comprises, by mass, 55-60 parts of biomass charcoal, 35-40 parts of humic acid, 2-4 parts of beneficial microbial agent, 1-2 parts of urea and 3-4 parts of a binder; the biochar-based coast saline-alkali land improvement conditioner has the synergistic effect of soil improvement, activation of microorganisms, enhancement of crop saltresistance, the soil improvement helps to improve soil microflora and increase the microbial activity in the soil, microbial metabolites also enhance the crop root saltresistance, crop growth feeds back to accelerate the soil improvement, a virtuous cycle system is formed, and multiplier amplification effect can be achieved compared with a single measure.

The invention discloses an intelligent greenhouse demonstration measurement and control system based on an Internet of things technology. The intelligent greenhouse demonstration measurement and control system comprises a plurality of field control station networks, a plurality of embedded gateways and a central server, wherein one field control station network is accessed into one embedded gateway; and the embedded gateways realize communication between the central server and the field control station networks. The intelligent greenhouse demonstration measurement and control system acquires parameters inside and outside a greenhouse and parameters of crop growth soil constitutes through a sensing network of the Internet of things; a network layer of the Internet of things combines various data transmission networks and communicates with the central server through an embedded Ethernet controller interface, so that communication among various nodes is realized; and an application layer, namely the central server, of the Internet of things realizes optimization control, page publish and short message inquiry control for the parameters.

The invention relates to a crop growth irrigation decision-making control system comprising a crop database, a soil database, a meteorological database, an irrigation volume database, and an achievement database. Crop parameter data from the crop database, soil parameter data from the soil database, and meteorological data from the meteorological database are initialized by a crop growth mathematical model of the decision-making control system; with combination of irrigation volume data from the irrigation volume database, the crop growth mathematical model carries out state calculation; the decision-making control system makes an irrigation decision based on the irrigation decision-making model; and the irrigation decision-making effect is fed back based on daily data output provided by the achievement database; and the irrigation decision is adjusted based on the evaluation result.

The invention discloses a monitoring device and a method for crop growth uniformity degree, aiming at the problem of low efficiency for manually investigating data. The device comprises a remote sensing image processing module, a plot vector data processing module, a vegetation index processing module and a growth uniformity processing module. The method comprises: obtaining the remote sensing images of a satellite; carrying out radiometric ratification, atmospheric correction and geometric correction according to the remote sensing images of the satellite; classifying crops in the remote sensing images of a satellite to obtain a spatial distribution map; converting a grid classification result in the spatial distribution map into facet vector data; processing the spatial distribution map to correct the plot boundary of the crops; according to the spectral characteristics of the plot in the remote sensing image, calculating the vegetation index of the plot; and calculating the growth uniformity degree index according to the vegetation index of each plot. The invention uses the integration of the grid and the vector data to monitor the growth uniformity degree of crops in natural plots and performs the advantages of remote sensing data.

The invention relates to a preparation method for a high-activity humic acid biofertilizer. The high-activity humic acid biofertilizer comprises 97-99% of humic acid bio-organic fertilizer, 0.2-3% of special functional bacteria, and 0.1-0.3% of activator. The high-activity humic acid biofertilizer has high quality of organic matter nutrient, is excellent in soil conditioning function, has stable effect and long fertilizer efficiency, has balanced and complete nutrient, comprises multiple inorganic components needed by crops, has high fertilizer efficiency and can promote the growth of the crop and improve the yield and quality, has good disease resistance effect, improves the root system environment of the crop, improves the nutrient absorption of the crop, develops the root system of the crop, and enhances the stress resistance of the crop. After the high-activity humic acid biofertilizer is used by a peasant, a good planting effect can be obtained, and the yield and income are increased, so that the high-activity humic acid biofertilizer is used for producing environment-friendly and organic food.

The invention relates to a biogas residue organic fertilizer and a preparation method thereof. The biogas residue organic fertilizer uses biogas residue as major raw materials (the consumption is higher than 80 percent) to be mixed with humic acid, nitrogenous fertilizers, phosphate fertilizers, potash fertilizers and trace elements. By aiming at two problems that the biogas residue can not be dewatered and solidified easily and the mechanical dewatering has high energy consumption, the invention utilizes a shallow tank natural solidifying and air drying process, and the biogas residue carries out aerobic secondary fermentation, air drying and solidification in a shallow tank to meet the pelletization moisture and physical property requirements. The biogas residue organic fertilizer of the invention can meet the requirement of nutrient required by crop growth, and can also fertilize the soil and improve the yield.

The invention discloses a Beidou-based crop growth monitoring system including an image acquisition device, an image processing device, a detection device, a computer control center, a positioning device, and a crop monitoring control center, the computer control center is connected with the image acquisition device, the image processing device, the detection device, the positioning device, and the crop monitoring control center to control the positioning of the positioning device. The Beidou-based crop growth monitoring system can comprehensively monitor the parameter data values of the growth condition and growth environment of crops in real time and performs intelligent management on the crops based on the parameter data values, and because of the intelligent management system, crop growers can save a lot of workload and work time.

The invention relates to a system and method for integrally and intelligently controlling water and fertilizer in a field based on multi-source information fusion. The system comprises a weather forecast inquiry receiving subsystem, a weather real-time data collecting control subsystem, a cloud computing platform, a central control unit, an irrigation and fertilization control subsystem, an irrigation and fertilization state monitoring system and an online fault detection system. The system provided by the invention is an automatic control system integrated with the functions of weather forecast inquiry, crop cloud computing platform inquiry, farmland weather real-time collection, solid fertilizer rapid solution, mother solution real-time monitoring regulation, irrigation and fertilization state monitoring, online fault detection, irrigation and fertilization and remote intelligent control. According to the invention, the factors, such as, weather forecast, cloud computing platform, weather real-time collection and growth vigor of the crops in the growth process can be comprehensively considered, corresponding irrigation and fertilization decisions can be made, and thus precise irrigation and precise fertilization can be accurately realized; and the growth vigor of the crops can be described in real time, and the irrigation and fertilization can be performed according to the growth vigor of the crops.

The invention discloses a big data analysis based intelligent greenhouse control system and method. The system includes an air temperature and humidity sensor, a light intensity sensor, a carbon dioxide sensor, a soil temperature and humidity sensor, an equipment driving module, a CC2530, a ZigBee/WiFi gateway, a cloud server and a network camera; the air temperature and humidity sensor, the light intensity sensor, the carbon dioxide sensor and the soil temperature and humidity sensor are used for collecting the environment information of a greenhouse; the equipment driving module is used for adjusting the environment parameters of the greenhouse; the network camera is used for collecting the growth pictures of crops in the greenhouse; the CC2530 sends a control instruction to the equipment driving module; the equipment driving module transmits the control instruction to a ventilating fan, a sprinkling irrigation facility and a light supplementary lamp/light shading curtain, so that the environment parameters in the greenhouse can be adjusted; and the cloud server determines the growth demands of the crops according to the collected crop growth pictures, an information processing decision system and a convolutional neural network model. Through the growth environment demands of the planted crops analyzed based on big data and equipment that can automatically control and adjust the environment parameters according to the growth environment demands of the crops, manpower costs can be greatly saved, and the output of the crops can be enhanced.

The invention discloses a miniaturized unmanned aerial vehicle crop information obtaining and fertilization irrigation guiding apparatus and belongs to the technical field of crop monitoring, for solving the problems high cost and poor reliability existing in conventional crop monitoring. The apparatus comprises an information acquisition module, a ground sensor, a database, a ground station and an unmanned aerial vehicle, wherein the ground station carries out course planning and information acquisition point setting on a crop area to be detected; a flight controller of the unmanned aerial vehicle, according to a planned course, controlling flight of the unmanned aerial vehicle, and when the unmanned aerial vehicle arrives at information acquisition points, the information acquisition module acquires air indexes of the information acquisition points, and at the same time, performs hyperspectal shooting on crops at the information acquisition points so as to obtain growth information of the crops; the database stores data corresponding to the year with previous optimal output; the ground sensor is arranged at the crop area to be detected for measuring soil indexes; and the ground station, according to the air indexes acquired at the corresponding information acquisition points, the crop growth information and the soil indexes, makes a comparison with corresponding data in the database so as to obtain fertilization and irrigation instructions.