스마트 농업은 농업 전문가의 지능형 시스템입니다., agricultural production control system and organic agricultural products safety traceability system three systems use the network platform technology, 클라우드 컴퓨팅 방식을 사용하여, 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. 개방된 토지와 일치하는 첨단 농업시설을 갖춘 대규모 집약적 운영 방식입니다., 높은 기술 사양과 높은 이점. 과학적 연구를 통합합니다., 생산, 가공 및 판매, 연간 실현, 전천후 및 비수기 기업 규모 생산; 현대생명공학을 접목한, 농업 공학, 농업 신소재 및 기타 분야. Relying on modern agricultural facilities, it has high scientific and technological content, high added value of products, high land yield and high labor productivity. 이는 중국 농업 신기술 혁명의 세기를 초월한 프로젝트입니다..
Intelligent agriculture is based on IoT 기술, via various wireless sensors real-time collection of agricultural production site lighting, 온도, humidity and other parameters. After the collected parameter information is digitized and transformed, 실시간 전송 네트워크를 요약하고 통합합니다., 농업 전문가 지능형 시스템은 타이밍에 사용됩니다., 정량적 및 포지셔닝 클라우드 컴퓨팅 처리, 지정된 농기계는 적시에 정확한 방식으로 원격 제어에 의해 자동으로 개폐됩니다. 예를 들어, with the use of Internet of Things technology(IoT) in agriculture, 과일과 채소에 물을 주어야합니까?? 수분, 투약, 정확한 집중력을 유지하는 방법? 온도, 습기, 빛, 이산화탄소 농도, 주문형 공급을 구현하는 방법? 서로 다른 성장 주기에 있는 일련의 작물은 문제를 해결하기 위해 "모호"했습니다., 실시간 정량적 '정확한' 정보 지능형 모니터링 시스템입니다., 농부들은 스위치만 누르면 된다, 선택을 하다, 또는 완전히 "명령"으로, 좋은 야채를 심을 수 있어요, 좋은 꽃을 키우다.
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. 지능형 농업정보 수집 및 디지털 자원 활용
현대 지구공간 및 지리정보기술을 최대한 활용, 센서 기술, with convenient information recognition technology to obtain all kinds of product information related to crop production and environmental parameters, 재배, 파종, 수분, 관개, 디지털 제어 등 살포 및 잡초 방제 분야, 농업 투입물을 자원으로 활용, 효율성 극대화.
2. 농업정보망 글로벌화 확대
현재, 정보 기술은 세계 곳곳에 깊숙이 침투했습니다. 농업정보자원의 접근과 서비스는 국경의 한계를 허물고 국제화, 세계화를 향해 가속화되고 있습니다. 정보네트워크와 각종 미디어를 통해, 세계의 농업정보 흐름은 기하학적으로 확장되고 있다, 유속 또한 전례 없는 고속 시대로 진입하고 있습니다. 농업 정보화는 세계 농업 자원 배분에 지대한 영향을 미치고 농업 무역의 국제 경쟁을 촉진합니다. 동시에, 농업정보자원 데이터베이스는 전문화 방향으로 발전하고 있습니다., 완성, 공유 및 지식경영, 등.
3. 농산물 전자상거래 전문분업
The development of network and communication technology, 전자상거래의 인기와 성숙도, 농산물 네트워크 마케팅을 통해, 즉각적인 정보 흐름으로 완료될 수 있습니다., 현금흐름과 거래의 물리적 흐름, 농업전자상거래는 더 이상 거래가 아니라 운영의 수요와 공급의 산물이다, 하지만 이전 순서는 산전, 흐름분배 및 기타 종합 서비스에 이어, 즉, 산업 체인 링크 주변에 밀접하게, 정보 공유를 달성하기 위한 정보 관리 플랫폼, 관리 도킹 및 기능 매칭.
4. 농업정보의 멀티미디어 보급
영상 제작 및 압축 기술, 디지털 애니메이션 기술, 가상 시뮬레이션 기술, 모바일 네트워크 미디어 기술 및 기타 멀티미디어 기술, 빠른 전송으로, wide-coverage, 생생한 이미지, 풍부하고 다채로운, 작동하기 쉽고 기타 특성, 복잡한 농업문제를 단순화된 표현과 전파로 전례 없는 편리함을 제공합니다..
5. 농업정보 완벽 적용
농업산업화가 발달하면서, 태아기 상관도에 대한 요구 사항, 생산과 산후 연결이 점점 더 높아지고 있습니다. 예측, 조기경보 등 정보시스템, 협의 및 의사결정, 생산 관리, 정책 규제, 시장분석과 프로모션, 마케팅은 유기적으로 연결되어 상호 연관되어 있습니다., 전 과정 서비스 구현과 농업 생산 모니터링은 민감한 업무와 분리될 수 없습니다., 정확한, 안정적이고 체계적인 정보 서비스.
6. 지능형 농업 생산 관리
정보통신기술의 보편화라는 새로운 발전 추세에 맞춰, 통합과 인텔리전스, 인지인식기술의 급속한 발전과 무선센서 기술의 산업화, 농업지능화기술은 농업생산관리 전 과정에 폭넓게 스며들게 될 것이다. 클라우드 컴퓨팅 및 지능형 데이터베이스 시스템의 도움으로, 방대한 데이터를 분석할 수 있다, 정보 처리, 예측과 모델링이 가능합니다., 생산 과정과 시장 역학에 대한 깊은 통찰력과 정확한 판단을 극대화하기 위해 정보 자원을 사용할 수 있습니다., 더 빠르고 더 나은 결정을 내리기 위해.
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. 그만큼 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. 동시에, 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. 동시에, 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, 사물 인터넷 기술, 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.
첫 번째, 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.
두번째, 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.
제삼, 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.
네번째, 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.
다섯, 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
오늘, the Internet of Things technology has realized a strong demand for data-driven 정밀 농업. 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 센서 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, 주차장, 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, 생태 보호, precision planting, pest control meteorological early warning, 등.
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 10억 2021 에게 $20.8 10억 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.
