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市场调查报告书
商品编码
1372055
到 2030 年精密农业影像技术的市场预测:按产品、技术、用途和地区进行的全球分析Imaging Technology for Precision Agriculture Market Forecasts to 2030 - Global Analysis By Product, Technology, Application and by Geography |
根据Stratistics MRC的数据,2023年全球精密农业影像技术市场规模为10.3473亿美元,预计到2030年将达到19.6563亿美元,预测期内年复合成长率为9.6%。
精密农业影像技术 (PA) 是一种农业管理概念,建立在监测、量化和回应田地内和田间作物变化的基础上。精密农业是利用土壤品质、化学成分、空气品质和水分含量等农业特征的即时资料来做出作物管理决策的过程。可用的技术有很多,包括全球定位系统、无人机、可变速率技术、导引技术和测绘技术。
根据联合国粮食及农业组织称,到年终年底,粮食产量需要增加60%才能满足全球人口快速成长的需求,精密农业可以提供协助。
精密农业是由成本降低、资料准确性提高和易用性推动的市场成长所推动的。此外,影像系统在精密农业的用途包括动物监测、作物健康、环境影响评估、灌溉设备监测、杂草和害虫识别以及可变速率肥力。精密农业对影像技术的需求预计在不久的将来将会增加。
精密农业依赖可靠的连接和强大的基础设施,特别是在偏远和农村地区。然而,在一些地区,缺乏有效的网路连线阻碍了即时资料传输和处理。影像处理技术的普及和有效性可能会因基础设施的缺乏而受到限制,特别是对于网路连接稀疏地区的农民而言。然而,资料格式、互通性和系统相容性方面缺乏标准化,阻碍了不同系统的使用。缺乏标准化可能导致难以结合不同的技术并跨平台共用资料,阻碍了轻鬆的资料共用和协作。
世界各国政府正在认识到精密农业在解决粮食安全问题、减少负面环境影响和提高农业盈利方面的潜力。因此,各国政府正在製定政策,提供财政激励措施,并鼓励在农业中使用科技。透过这种支持和立法,鼓励农民采用影像技术并投资精密农业,并越来越认识到影像技术和精密农业的优势。此外,教育计划、商务会议和示范计画也宣传和展示了这些技术的优势。
实施精密农业成像技术有时会涉及高昂的初期成本。购买无人机、感测器和影像处理设备等工具的成本可能很高。软体、培训和资料管理系统也有成本。由于初期成本较高,小规模农民和财力有限的农民可能会发现很难引入这种方法。解释影像资料、校准感测器、整合资料和分析结果可能需要专业知识。
农场关闭且人手不足。由于劳动力短缺,农民发现很难进行农业活动。此外,卡车、火车等运输设备也短缺。农民可能难以理解和成功使用技术,特别是如果他们缺乏技术支援和培训。由于上述问题,预计 COVID-19 的爆发将阻碍市场扩张。
精密农业影像技术由相机部门主导。相机对于收集各种农业用途的视觉资讯和影像至关重要。有些相机(例如飞行器)可以飞越田野并拍摄高解析度照片和视频,提供有关作物健康、植物密度、杂草侵染等的重要详细资讯。这些摄影机可以有效率、快速地监控大面积区域。
预计野外测绘领域在整个预测期内将出现良好的成长。在收集不同的空间和非空间资料的同时创建准确和详细的农业用地地图或表示形式称为实地测绘。此外,透过绘製田地特征和变化,农民可以建立处方图来指导投入的精确使用。透过确保尽可能有效地分配资源,VRA 绘图可以提高农业生产的生产力并减少浪费。
预计亚太地区在预测期内将出现极快的收益成长。该地区精密农业影像技术的需求是由快速增长的人口需求不断增长所推动的。该地区提高农业生产力和农业产量的需求日益增长,正在加速采用影像系统、基于 GIS 的土壤分析、气候预测、水资产资讯和基于移动的农业技术。由于越来越多地使用数位影像来评估作物健康状况,特别是真菌感染,该地区的农业部门越来越多地使用影像处理系统。
预计北美在预测期内的年复合成长率最高。由于农业领域越来越多地使用先进成像技术,该地区的精密农业成像技术市场正在不断扩大。在该地区国家,由于农业人事费用急剧上升和农民数量减少,农业领域对影像处理系统的需求不断增加。
According to Stratistics MRC, the Global Imaging Technology for Precision Agriculture Market is accounted for $1,034.73 million in 2023 and is expected to reach $1,965.63 million by 2030 growing at a CAGR of 9.6% during the forecast period. Imaging Technology for Precision agriculture (PA) is an agricultural management idea built on monitoring, quantifying, and reacting to crop variability both within and between fields. Precision agriculture is the process of making crop management decisions using real-time data for agricultural characteristics including soil quality, chemical composition, air quality, moisture content, etc. There are many technologies accessible, including the global positioning system, unmanned aerial vehicles, variable rate technology, guidance technology, and mapping technology.
According to the UN Food and Agriculture Organization, to meet the demand of rapidly growing world population, food production must rise by 60% by the end of 2050 for which precision agriculture can assist in this situation.
Precision farming with reduced costs, enhanced data accuracy, and simplicity of use are driving the market growth. Additionally, there are several uses for imaging systems in precision farming, including monitoring of animals, crop health, environmental impact assessment, irrigation equipment monitoring, identification of weeds and pests, and variable rate fertility. The demand for image technology in precision farming is expected to increase in the near future.
Particularly in isolated or rural regions, precision agriculture depends on dependable connectivity and a strong infrastructure. The transmission and processing of real-time data may be hampered in some areas, though, by a lack of effective internet connectivity. Imaging technology's uptake and efficacy can be constrained by a lack of infrastructure, particularly for farmers operating in sparsely networked regions. However, data formats, interoperability, and system compatibility are not standardized and this inhibits the use of various systems. This lack of standardization might make it difficult to combine various technologies or share data across platforms, impeding easy data sharing and cooperation.
Governments all across the world are becoming aware of precision agriculture's potential to address issues with food security, lessen its negative effects on the environment, and increase farm profitability. They are putting policies into place, offering financial incentives, and boosting technological use in agriculture as a result. Farmers are encouraged to embrace imaging technologies and make investments in precision agriculture methods through such support and legislation and are becoming more and more aware of the advantages of imaging technologies and precision agriculture. Additionally, education-related programs, business gatherings, and demonstration projects are promoting and displaying the advantages of these technologies.
Precision agricultural imaging technology implementation sometimes entails high initial expenses. The cost of purchasing tools like drones, sensors, and imaging equipment can be high. There can also be expenses for software, training, and data management systems. Smaller farmers or those with low financial resources may find it difficult to get started because of these hefty initial costs. Specialized knowledge may be necessary for the interpretation of imaging data, sensor calibration, data integration, and result analysis.
The farms were understaffed as a result of the lockdown. The farmers are finding it difficult to carry out plantation activities as a result of the labor scarcity. Additionally, there is a dearth of transportation equipment like trucks and trains. Farmers may have trouble comprehending and using the technology successfully, especially if they don't have access to technical assistance or training. The COVID-19 pandemic is anticipated to impede market expansion due to the aforementioned issues.
The imaging technology for precision agriculture has a sizable camera section. Cameras are essential for gathering visual information and imagery for a variety of agricultural applications. Some of the cameras like aerial vehicles fly above the fields and take pictures and videos in high definition, which can provide important details about the health of the crops, the density of the plants, weed infestations, and other factors. These cameras make it possible to efficiently and swiftly monitor vast areas.
Field mapping segment is expected to witness lucrative growth throughout the projected time frame. Making accurate and detailed maps or representations of agricultural fields while collecting diverse spatial and non-spatial data is known as field mapping. Moreover, farmers can construct prescription maps that direct the precise use of inputs by mapping the characteristics and variations of their fields. By ensuring that resources are allocated as efficiently as possible, VRA mapping increases productivity and decreases waste in agricultural operations.
During the forecast period, Asia Pacific is anticipated to report extremely rapid revenue growth. The demand for imaging technologies for precision agriculture in the region is driven by the growing requirement to feed a population that is expanding quickly. The region is adopting imaging systems, GIS-based soil analysis, climate prediction, water asset information, and mobile-based farming technologies at a faster rate due to the growing need to boost farm productivity and agricultural yield. The agricultural sector in the region is using imaging systems more frequently as a result of the growing use of digital imaging to assess crop health, particularly fungus infection.
North America is expected to have the highest CAGR over the forecast period. The market for imaging technology for precision agriculture in the area is expanding as a result of the growing usage of advanced imaging technologies in the agricultural sector. The need for imaging systems in the agricultural sector is increasing as a result of the high cost of labor in agriculture and the reduction in the agricultural workforce in the region's countries.
Some of the key players in Imaging Technology For Precision Agriculture market include: 4D Technologies, Bayspec, MicaSense, Pixelteq, Quest-InnovationsBV, Resonon, Sentek Technologies, Teledyne DALSA, Tetracam and XIMEA.
In March 2023, XIMEA Releases 3rd Generation of Sony CMOS Pregius Sensors in Cameras. XIMEA design additionally provides the smallest size with a 26 x 26 x 30 mm footprint and weight of around 30 grams
In October 2022, XIMEA and Agrowing are pleased to announce their cooperation for the development and distribution of high-resolution, multispectral systems at VISION 2022.Both companies combine their existing technologies to produce fast, integrated systems. Agrowing manufactures multiple lenses systems with different spectral bands. XIMEA is adapting its fast PCIe and USB3 cameras with large image sensors to optimally support the lenses.