Smart Agriculture ist ein intelligentes System für landwirtschaftliche Experten, agricultural production control system and organic agricultural products safety traceability system three systems use the network platform technology, mit Cloud-Computing-Methode, implementation of agricultural information digitization, intelligent automation of agricultural production, agricultural management, so as to build a low carbon energy saving, high efficiency and high yield, green ecological system of modern agriculture. This article will give you a comprehensive understanding of smart agriculture.
1. What is smart agriculture
Intelligent agriculture refers to an advanced agricultural production mode that adopts industrial production to achieve efficient, sustainable, and intensive development under relatively controllable environmental conditions. Es handelt sich um eine Form der intensiven großflächigen Bewirtschaftung mit fortschrittlichen landwirtschaftlichen Anlagen, die dem offenen Land entsprechen, Hohe technische Spezifikationen und hoher Nutzen. Es integriert wissenschaftliche Forschung, Produktion, Verarbeitung und Vertrieb, jährlich realisieren, Allwetter- und Nebensaisonproduktion im Unternehmensmaßstab; Es integriert moderne Biotechnologie, Agrartechnik, landwirtschaftliche neue Materialien und andere Disziplinen. Relying on modern agricultural facilities, it has high scientific and technological content, high added value of products, high land yield and high labor productivity. Es handelt sich um ein jahrhundertelanges Projekt der Revolution der neuen landwirtschaftlichen Technologien in China.
Intelligent agriculture is based on IoT-Technologie, via various wireless sensors real-time collection of agricultural production site lighting, Temperatur, humidity and other parameters. After the collected parameter information is digitized and transformed, Das Echtzeitübertragungsnetzwerk wird zusammengefasst und integriert, und das intelligente System des Agrarexperten wird für die Zeitmessung verwendet, quantitative und positionierende Cloud-Computing-Verarbeitung, und das angegebene landwirtschaftliche Gerät wird automatisch und zeitnah und präzise per Fernbedienung geöffnet oder geschlossen. Zum Beispiel, with the use of Internet of Things technology(Internet der Dinge) in agriculture, Soll Obst und Gemüse gegossen werden?? Düngung, Dosierung, wie man eine genaue Konzentration aufrechterhält? Temperatur, Feuchtigkeit, Licht, Kohlendioxidkonzentration, wie man On-Demand-Versorgung umsetzt? Eine Reihe von Kulturpflanzen in unterschiedlichen Wachstumszyklen wurden „unscharf“ gemacht, um das Problem zu lösen, sind quantitative, „genaue“ Informationen in Echtzeit und intelligente Überwachungssysteme, Landwirte drücken einfach einen Schalter, entscheide dich, oder komplett auf „Befehl“, kann gutes Gemüse pflanzen, gute Blumen züchten.
2. The history of smart agriculture
Smart agriculture took off in the United States in the early 1980s. Due to the rapid development of information technology and intelligent technology, agricultural technologies such as crop planting management and soil metering formula fertilization have become the seeds of the early development of intelligent agriculture. By the 1990s, the satellite positioning system had been widely used, information technology had been widely popularized, and agricultural production had made great progress. In the 21st century, the development of smart agriculture has taken shape, improved agricultural production capacity and efficiency, and made agriculture a sustainable and efficient industry.
3. Precision and digital agriculture
1. Intelligente Sammlung landwirtschaftlicher Informationen und Nutzung digitaler Ressourcen
Nutzen Sie den modernen Weltraum und die geografische Informationstechnologie voll aus, Sensorik, with convenient information recognition technology to obtain all kinds of product information related to crop production and environmental parameters, der Anbau, Aussaat, Düngung, Bewässerung, Sprüh- und Unkrautbekämpfungsbereich wie digitale Steuerung, Machen Sie die Ressourcennutzung landwirtschaftlicher Betriebsmittel, Maximieren Sie die Effizienz.
2. Ausweitung der Globalisierung des landwirtschaftlichen Informationsnetzwerks
Derzeit, Die Informationstechnologie hat jeden Winkel der Welt tief durchdrungen. Der Zugang und die Bereitstellung landwirtschaftlicher Informationsressourcen überschreiten die Grenzen nationaler Grenzen und beschleunigen sich in Richtung Internationalisierung und Globalisierung. Durch Informationsnetzwerke und alle Arten von Medien, Der landwirtschaftliche Informationsfluss in der Welt nimmt geometrisch zu, und auch die Durchflussmenge tritt auf beispiellose Weise in ein Hochgeschwindigkeitszeitalter ein. Die Agrarinformatisierung hat tiefgreifende Auswirkungen auf die weltweite Zuteilung landwirtschaftlicher Ressourcen und stärkt den internationalen Wettbewerb im Agrarhandel. Gleichzeitig, Die Datenbank mit landwirtschaftlichen Informationsressourcen entwickelt sich in Richtung Spezialisierung, Integration, Teilen und wissensbasiertes Management, usw.
3. Spezialisierte Arbeitsteilung im E-Commerce von Agrarprodukten
The development of network and communication technology, die Popularität und Reife von E-Commerce-Transaktionen, durch die Netzwerkvermarktung landwirtschaftlicher Produkte, Es kann in einem sofortigen Informationsfluss abgeschlossen werden, Cashflow und physischer Handelsfluss, Der landwirtschaftliche E-Commerce ist nicht mehr das Produkt von Angebot und Nachfrage des Betriebs, aber die frühere Anordnung zur pränatalen, im Anschluss an die Stromverteilung und andere umfassende Dienstleistungen, nämlich, eng um das industrielle Kettenglied herum, In der Informationsmanagementplattform wird der Informationsaustausch erreicht, Management-Docking und Funktionsabgleich.
4. Multimediale Verbreitung landwirtschaftlicher Informationen
Videoproduktions- und Komprimierungstechnologie, digitale Animationstechnologie, virtuelle Simulationstechnologie, mobile Netzwerk-Medientechnologie und andere Multimedia-Technologie, mit schneller Übertragung, wide-coverage, lebendige Bilder, reich und bunt, einfache Bedienung und andere Eigenschaften, denn die vereinfachte Darstellung und Verbreitung komplexer landwirtschaftlicher Probleme bietet einen beispiellosen Komfort.
5. Vollständige Anwendung landwirtschaftlicher Informationen
Mit der Entwicklung der landwirtschaftlichen Industrialisierung, die Anforderungen an den Korrelationsgrad der pränatalen, Die Produktions- und Wochenbettverbindungen werden immer höher. Informationssysteme wie Vorhersage und Frühwarnung, Beratung und Entscheidungsfindung, Produktionsleitung, politische Regulierung, Marktanalyse, Werbung und Marketing sind organisch miteinander verbunden und miteinander verbunden, und die Umsetzung des gesamten Prozessservices und die Überwachung der landwirtschaftlichen Produktion können nicht von sensiblen Bereichen getrennt werden, genau, zuverlässige und systematische Informationsdienste.
6. Intelligentes landwirtschaftliches Produktionsmanagement
Mit dem neuen Entwicklungstrend der Universalität der Informations- und Kommunikationstechnologie, Integration und Intelligenz, sowie die rasante Entwicklung der Wahrnehmungserkennungstechnologie und der Industrialisierung der drahtlosen Sensortechnologie, Intelligente Landwirtschaftstechnologie wird in allen Aspekten des landwirtschaftlichen Produktionsmanagementprozesses weit verbreitet sein. Mit Hilfe von Cloud Computing und intelligentem Datenbanksystem, Es können riesige Datenmengen analysiert werden, Informationsverarbeitung, Vorhersagen und Modellierungen können durchgeführt werden, und Informationsressourcen können genutzt werden, um den tiefgreifenden Einblick und die genaue Beurteilung des Produktionsprozesses und der Marktdynamik zu maximieren, um schnellere und bessere Entscheidungen zu treffen.
4. Advantages and benefits of IoT in agriculture
Advantages of smart agriculture
1. The integrated technology of water and fertilizer in smart agriculture can effectively avoid the waste of water resources in China, achieve precise irrigation and save fertilizer at the same time. Der intelligent irrigation and fertilization process can also effectively save labor costs, thus saving time, so that science and technology can help farmers achieve time freedom.
2. Smart agriculture system adopts low power consumption design, which can reduce energy consumption and achieve energy conservation and environmental protection.
3. Environmental sensor monitoring equipment brings great convenience to farmers. It can carry out real-time detection of crops through front-end sensors and then transmit back the data to the cloud platform.
4. With the increase of optical cable and wireless transmission technology, farmers can break through the limitations of time and region and understand the production status of crops anytime and anywhere. Gleichzeitig, the increase of wireless equipment also avoids the fire hazard caused by wiring and reduces construction costs.
5, the production status of crops can not only be displayed from the computer, but also be observed via playback and video recording. Gleichzeitig, mobile phones can also observe the state of crops, making farmers’ agricultural planting more and more intelligent.
6. Through smart agriculture, the output of crops can be greatly increased, the quality of crops can also be improved, and ultimately the income of farmers will increase, and the national economy will develop faster and faster.
Smart agriculture is a new agricultural development model developed on behalf of the Internet of things in the field of agricultural development. Essentially, it is an agricultural technology that takes Internet-based information technology, Internet-of-Things-Technologie, cloud computing and mobile communication technology as the core to realize the “Internet of everything”.
5. Challenges of smart agriculture
At this stage, smart agriculture is mainly faced with the following five major problems.
Erste, agricultural information communication facilities are seriously lacking. The application of modern computer technology requires basic communication facilities, but the construction of communication facilities in rural areas of developing countries lags behind seriously, resulting in a low level of agricultural digitization and limited timeliness and accuracy of agricultural information.
Zweite, there is a lack of unified technical standards for the IoT. The lack of technical standards for the Internet of Things also restricts the further maturity of smart agriculture, which makes it impossible to meet the demand for resources for standardized agricultural production and comprehensive and extensive access to agricultural information for scientific research.
Dritte, the quality of agricultural users needs to be improved. The relatively low quality of agricultural practitioners in developing countries and their weak ability to apply and accept modern computer technology are not conducive to the popularization of smart agriculture.
Vierte, the popularization and application of modern agricultural information are insufficient. In most areas of developing countries, the intensification of agricultural planting is not high and large-scale agricultural production is not strong enough, which is mainly due to the insufficient promotion and application of modern agricultural information.
Fünfte, the promotion of new technology is unfavorable. Smart agricultural techniques face obstacles from the laboratory to the field, and will need to be expanded in the future.
Use Cases of smart agriculture
Water resources management
According to FAO, 70 percent of the total is used for agriculture, making it the world’s largest consumer of fresh water. Farmers can implement precision irrigation to avoid under-irrigation and over-irrigation.
Farmers are enabled to reduce water consumption by up to 30 percent with connected sensors to measure soil moisture.
Since crop prices are determined entirely by the cost of irrigation water (as well as fertilizers, pesticides and employed Labour), data-driven cost management can help assess resource efficiency, set attractive prices and win markets.
Silo and tank level measurement
Manually monitoring the levels in tanks and silos is time-consuming and error prone.
Ultrasonic level sensors allow automatic thresholds to be configured to notify that the level is too low or too high. These sensors are autonomous and their batteries can help run for more than twenty years.
Measure the temperature and humidity of the barn
Special storage conditions are required for some crops. To prevent loss of profits, smart temperature monitors provide an autonomous way to manage temperature and humidity remotely. Growers can collect and receive information on multiple units in charts and spreadsheets to easily analyze trends and act on the results. IoT technology helps ensure that temperatures remain consistent and quality is not compromised.
Collect soil condition data
Heute, the Internet of Things technology has realized a strong demand for data-driven Präzisionslandwirtschaft. The land itself can coordinate the farmer’s best harvest conditions. Farmers can remotely access temperature data to develop customized adjustment programs with wireless networks.
Soil moisture data help accurately predict the best planting time, reduce water use, and keep the soil healthy.
Assist in pest control
Poor pest management can lead to an unprofitable growing season.IoT-Sensoren can eliminate manual time-consuming inspections by providing real-time information.
Once a particular weather pattern is detected, alerts can be created so farmers can prepare ahead of time and mitigate losses.
Configure tactical pest management strategies based on regular, up-to-date data to constantly adjust how, when, and where pest management plans are applied.
Livestock monitoring, geo-fencing
Farmers can use wireless iot applications to gather data about the location and health of their livestock.
Next generation greenhouse cultivation, no soil and 90% moisture reduction
Vertical farming is becoming more and more popular.
Hydroponic facilities can grow fruits, vegetables and fungi faster, cheaper and more cleanly. Vertical farms can have 12 growing cycles each year. Because it is located indoors in abandoned factories, Parkplätze, or warehouses, this installation does not require soil or natural light. Reuse of recycled water through the same hydroponic system without the need for fertilizers, herbicides and pesticides can greatly reduce operating costs.
7. Smart agriculture drives the third Green Revolution
The third green Revolution refers to the era of smart agriculture and forestry. In the future, with agricultural big data and cloud services, advanced sensing technology, precision technology and equipment of agriculture and agricultural content networking technology and equipment, agricultural robot and so on five big core technology represented by the technology innovation will be increasingly mature and widely used in forest fire prevention, ökologischer Schutz, precision planting, pest control meteorological early warning, usw.
8. How big is the smart agriculture market
The smart agriculture market has seen significant growth in the past few years, mainly due to the advancement and implementation of technologies. The global smart agriculture market is anticipated to grow from $12.9 Milliarden in 2021 Zu $20.8 Milliarden in 2026.
Growing global demand for food and a growing focus on improving profitability and yield through the implementation of advanced technologies in agriculture are several major factors contributing to the growth of the smart agriculture market.
Artificial intelligence and data analytics will have the highest CAGR in the precision agriculture software market during the forecast period
Farmers can analyze temperature, weather conditions, soil conditions, and water consumption with AI. Precision agriculture uses ARTIFICIAL intelligence to detect pests in plants and plant nutrients.
Feed management is anticipated to lead the precision aquaculture market during the forecast period
Feed management is anticipated to lead the precision aquaculture market during the forecast period. Factors contributing to the growth in monitoring, control and surveillance are the increasing installations of automated aquaculture farm monitoring equipment, such as iot based monitoring equipment, underwater robots and smart camera systems, as well as aquaculture farmers’ increasing focus on the effective management of fisheries to ensure increased agricultural productivity and efficiency.
Medium-sized farms will lead the smart agriculture market during the forecast period
In medium-sized farms, because there are so many farms, the use of technology is growing at the highest rate. Other factors contributing to the higher penetration of technology on medium and large farms include flexibility to integrate software tools into hardware devices, significant labor cost savings through the use of automated tools, and higher return on RoI.
The Asia-Pacific region is expected to grow at the highest CAGR during the forecast period
The smart agriculture market in The Asia-pacific region is anticipated to grow during the forecast period. The adoption rate of smart agricultural technologies is anticipated to grow rapidly in the Asia-Pacific region. The increasing adoption of smart irrigation controllers is some of the main factors driving the growth of the smart agriculture market.
China is expected to take the largest share of the smart agriculture market in the Asia-Pacific region. China’s smart agriculture market is also anticipated to grow at the highest CAGR.
The decentralized agricultural industry will be a major constraint on smart agriculture
The agricultural industry is not dominated by a few large players or a single player. The agricultural industry has a large number of small players and is very fragmented. Implementing smart farming techniques on scattered land wastes time, money and resources because of the difficulty of managing, monitoring and collecting data on scattered land.
Data management will be a major challenge
Data management is a big challenge for users of intelligent agricultural tools. Data from farms using smart farming tools is important because it helps farmers make production decisions. Various critical data related to yield monitoring, variable speed seeding, mapping, historical crop rotation, and yield monitoring are generated on a regular basis. This data must be managed correctly.
