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[前沿资讯] Ocado and Infinite Acres partner up in indoor farming 进入全文

Future Farming

Online grocery retailer Ocado Group has completed its deal to partner and invest in Infinite Acres. Infinite Acres is a partnership of three companies working together to scale indoor food production through vertical farming done in environmentally controlled, pesticide-free facilities. The joint venture was first announced in June and since has been engaged in several international projects. Priva Holding and 80 Acres Farms Along with UK-based Ocado, the Infinite Acres partnership includes Netherlands-based Priva Holding BV, a provider of technology solutions, services and automation systems to horticultural and other industries; and U.S.-based 80 Acres Farms, specialised in technology-assisted indoor growing and a multi-farm operator marketing a wide variety of freshly-harvested vegetables and fruits.

[学术文献] 融合黄瓜光质需求的设施光环境智能调控模型 进入全文

农业机械学报

设施光环境是影响作物生长发育的重要因素之一,其包括设施光强和光质。不同温度下,两者与光合速率存在显著的互作关系,建立融合作物光质需求的设施光环境智能调控模型,是设施农业环境调控急需解决的问题之一。本文以黄瓜为试验材料,设计了温度、光照强度、光质比嵌套的植株净光合速率测试试验,获取了多因子耦合的试验样本,并利用支持向量机建立了融合黄瓜光质需求的光合速率预测模型。其次,提出了基于粒子群算法的光照强度和光质比寻优算法,获取了不同温度条件下最适合植物生长的光照强度和光质比。最后,基于寻优结果,利用偏最小二乘回归法构建红蓝光目标值调控模型。验证结果表明,光合速率预测模型训练集数据和测试集数据的拟合度分别为0.9971和0.9969,均方根误差分别为0.3630、0.4367μmol/(m2·s)。红、蓝光目标值调控模型均方根误差分别为15.0878、10.1383μmol/(m2·s),可满足调控模型精度要求。其调控效果相比于传统固定光质比调控模型有明显提升,为有效地进行设施光环境调控提供了重要依据。

[学术文献] Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants 进入全文

SENSORS

Nondestructive plant growth measurement is essential for researching plant growth and health. Anondestructive measurement system to retrieve plant information includes the measurement of morphological and physiological information, but most systems use two independent measurement systems for the two types of characteristics. In this study, a highly integrated, multispectral, three-dimensional (3D) nondestructive measurement system for greenhouse tomato plants was designed. The system used a Kinect sensor, an SOC710 hyperspectral imager, an electric rotary table, and other components. A heterogeneous sensing image registration technique based on the Fourier transform was proposed, which was used to register the SOC710 multispectral reflectance in the Kinect depth image coordinate system. Furthermore, a 3D multiview RGB-D image-reconstruction method based on the pose estimation and self-calibration of the Kinect sensor was developed to reconstruct a multispectral 3D point cloud model of the tomato plant. An experiment was conducted to measure plant canopy chlorophyll and the relative chlorophyll content was measured by the soil and plant analyzer development (SPAD) measurement model based on a 3D multispectral point cloud model and a single-view point cloud model and its performance was compared and analyzed. The results revealed that the measurement model established by using the characteristic variables from the multiview point cloud model was superior to the one established using the variables from the single-view point cloud model. Therefore, the multispectral 3D reconstruction approach is able to reconstruct the plant multispectral 3D point cloud model, which optimizes the traditional two-dimensional image-based SPAD measurement method and can obtain a precise and efficient high-throughput measurement of plant chlorophyll.

[学术文献] Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System 进入全文

SENSORS

Flood has an important effect on plant growth by affecting their physiologic and biochemical properties. Soybean is one of the main cultivated crops in the world and the United States is one of the largest soybean producers. However, soybean plant is sensitive to flood stress that may cause slow growth, low yield, small crop production and result in significant economic loss. Therefore, it is critical to develop soybean cultivars that are tolerant to flood. One of the current bottlenecks in developing new crop cultivars is slow and inaccurate plant phenotyping that limits the genetic gain. This study aimed to develop a low-cost 3D imaging system to quantify the variation in the growth and biomass of soybean due to flood at its early growth stages. Two cultivars of soybeans, i.e. flood tolerant and flood sensitive, were planted in plant pots in a controlled greenhouse. A low-cost 3D imaging system was developed to take measurements of plant architecture including plant height, plant canopy width, petiole length, and petiole angle. It was found that the measurement error of the 3D imaging system was 5.8% in length and 5.0% in angle, which was sufficiently accurate and useful in plant phenotyping. Collected data were used to monitor the development of soybean after flood treatment. Dry biomass of soybean plant was measured at the end of the vegetative stage (two months after emergence). Results show that four groups had a significant difference in plant height, plant canopy width, petiole length, and petiole angle. Flood stress at early stages of soybean accelerated the growth of the flood-resistant plants in height and the petiole angle, however, restrained the development in plant canopy width and the petiole length of flood-sensitive plants. The dry biomass of flood-sensitive plants was near two to three times lower than that of resistant plants at the end of the vegetative stage. The results indicate that the developed low-cost 3D imaging system has the potential for accurate measurements in plant architecture and dry biomass that may be used to improve the accuracy of plant phenotyping.

[前沿资讯] IoT and drones to boost precision farming market 进入全文

Future Farming

根据Million Insights的一份报告,全球精细农业市场预计将在未来几年迎来重大变革。Million Insights认为这可能要归功于精耕细作具有使用基于IT的下一代耕作方法提高作物产量的潜力。报告指出,由于农业中物联网的过度使用,精细农业市场也受到了刺激。农场的生产者和管理者都在利用物联网设备的功能,如自动转向系统、GNSS和GPS系统,以及用于文件制图、温度监测、土壤取样、灌溉管理和各种其他应用的传感器。研究人员表示:“上述设备确实为实时洞察提高农业生产效率的方法开辟了道路。”研究者称,越来越多地采用无人机技术来监测作物、识别种植缺陷、检测和控制病虫害是推动精细农业市场发展的另一个因素。

[学术文献] Current Status and Future Prospect of the Agricultural Mechanization in Brazil 进入全文

AMA-AGRICULTURAL MECHANIZATION IN ASIA AFRICA AND LATIN AMERICA

Brazil is known worldwide as one of the major producers of grain, meat, sugar, coffee and other products. Agribusiness is one of the main activities in Brazil and contributes significantly to the Brazilian economy. This fact led to even greater investments and developments in the market of agricultural machinery and implements in the country. From the 1960s to the end of 2018, land areas with agricultural potential increased substantially, while the total number of wheel tractor fleets increased six-fold; in other words, the mechanized area in hectares per tractor decreased from 410 to 65 ha/tractor. The machinery and equipment manufactures in the country today is sufficient to support a high-level mechanization process and to decrease the number of tractors/seed planters/combines and other types of equipment per hectare. The acquisition and modernization of tractors, harvesters and other equipment types depend on the income of farmers and governmental and private credit policies. The sales of agricultural machinery in Brazil are strongly influenced by the prices of international commodities such as soybean, maize, citrus and coffee. With excessive urbanization and fewer labor resources available, extensive and highly mechanized crop systems, such as soybean, sugar cane, rice and corn, have been established to attend to farm chronograms at different levels of technology. In addition to a large machinery production capacity, the Brazilian industry has also invested in advanced technology, mainly in tractors and combines, to save time and fuel, lower the level of fatigue and reduce cost.

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