scholarly journals Methodical approaches to plant identification in high-resolution images in multispectral monitoring using UAVS

2021 ◽  
Vol 12 (2) ◽  
pp. 47-53
Author(s):  
N.A. Pasichnyk ◽  
◽  
V.P. Lysenko ◽  
O.O. Opryshko ◽  
◽  
...  
Keyword(s):  
High Resolution ◽  
Winter Wheat ◽  
Statistical Processing ◽  
Crop Management ◽  
The State ◽  
Multispectral Images ◽  
Plant Identification ◽  
Agricultural Technologies ◽  
Spectral Monitoring ◽  
Spectral Portrait

Crop management used in these technologies is one of the main trends in the modernization of agricultural technologies. To implement crop management, growers need accessible and effective information about the state of crops. The aim of the work is to develop a method of plant identification on multispectral images of high resolution for crops of continuous sowing on the example of winter wheat. The research was conducted on 03/17/2019 on winter wheat crops in the tillering vegetation phase, Mukan variety in production fields near the village of Horodyshche, Kyiv region. Aerial monitoring from a height of 100 meters was carried out using a spectral complex Slantrange 3p, mounted on a UAV UAV DJI Matrice 600. To extract the reference graphics data from Slantview made a copy of the screen in full screen mode of the image window. Statistical processing of graphical data of spectral monitoring results was performed in MathCad. It was found that the reliable establishment of the spectral portrait of the soil for its pixel-by-pixel filtering from multispectral images is a difficult task because its color significantly depends on the state of moisture, which may differ in open and shaded by plants. A more promising way to eliminate random inclusions is to use a spectral portrait of plants based on the intensity ratios of its spectral components. A promising parameter for assessing the condition of crops is to assess their area of heir horizontal surface, which can be determined by pixel analysis of the image. A filtering option is proposed, which, as in the solutions implemented in Slantview software, needs to be debugged. In further researches it is expedient to consider questions of methodical maintenance of an estimation of quality of a filtration of data of spectral monitoring of vegetation.

A step forward toward the high-resolution assessment of virtual water flows at the company’s scale

2021 ◽  
Author(s):  
Elena De Petrillo ◽  
Marta Tuninetti ◽  
Francesco Laio
Keyword(s):  
Water Management ◽  
High Resolution ◽  
Water Resources ◽  
Virtual Water ◽  
The State ◽  
Green Water ◽  
Blue Water ◽  
Food Trade ◽  
Water Flows ◽  
Final Consumer

<p>Through the international trade of agricultural goods, water resources that are physically used in the country of production are virtually transferred to the country of consumption. Food trade leads to a global redistribution of freshwater resources, thus shaping distant interdependencies among countries. Recent studies have shown how agricultural trade drives an outsourcing of environmental impacts pertaining to depletion and pollution of freshwater resources, and eutrophication of river bodies in distant producer countries. What is less clear is how the final consumer – being an individual, a company, or a community- impacts the water resources of producer countries at a subnational scale. Indeed, the variability of sub-national water footprint (WF in m<sup>3</sup>/tonne) due to climate, soil properties, irrigation practices, and fertilizer inputs is generally lost in trade analyses, as most trade data are only available at the country scale. The latest version of the Spatially Explicit Information on Production to Consumption Systems model  (SEI-PCS) by Trase provides detailed data on single trade flows (in tonne) along the crop supply chain: from local municipalities- to exporter companies- to importer companies – to the final consumer countries. These data allow us to capitalize on the high-resolution data of agricultural WF available in the literature, in order to quantify the sub-national virtual water flows behind food trade. As a first step, we assess the detailed soybean trade between Brazil and Italy. This assessment is relevant for water management because the global soybean flow reaching Italy may be traced back to 374 municipalities with heterogeneous agricultural practises and water use efficiency. Results show that the largest flow of virtual water from a Brazilian municipality to Italy -3.52e+07 m<sup>3</sup> (3% of the total export flow)- comes from Sorriso in the State of Mato Grosso. Conversely, the highest flow of blue water -1.56e+05 m<sup>3</sup>- comes from Jaguarão, in the State of Rio Grande do Sul, located in the Brazilian Pampa. Further, the analysis at the company scale reveals that as many as 37 exporting companies can be identified exchanging to Italy;  Bianchini S.A is the largest virtual water trader (1.88 e+08 m<sup>3</sup> of green water and 3,92 e+06 m<sup>3</sup> of blue water), followed by COFCO (1,06 e+08 m<sup>3</sup> of green water and 6.62 m<sup>3</sup> of blue water)  and Cargill ( 6.96 e+07 m<sup>3</sup> of green water and 2.80 e+02 m<sup>3</sup> of blue water). By building the bipartite network of importing companies and municipalities originating the fluxes we are able to efficiently disaggregate the supply chains , providing novel tools to build sustainable water management strategies.</p>

Influence of previous crops on the productivity of winter wheat varieties

2021 ◽  
Vol 17 (2) ◽  
pp. 84-92
Author(s):  
A. A. Makarov ◽  
N. I. Mamsirov
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Matter Content ◽  
Dry Matter Content ◽  
Wheat Varieties ◽  
Agricultural Technologies ◽  
Experimental Scheme ◽  
The Republic ◽  
Winter Wheat Varieties

In order to realize the maximum potential parameters of winter wheat productivity, it is necessary, first of all, to use high-yielding varieties with optimal quality indicators of grain, as well as progressive agricultural technologies aimed at obtaining a stable crop yield. Winter wheat places high demands on its previous crops. Insufficient amount of productive moisture in the soil or its extremely low reserves affects the yield, and consequently, the quality of winter wheat grain according to unpaired predecessors. Moreover, dry autumn during the sowing period leads to its delay, which is the reason for obtaining uneven and weak seedlings. In this regard, studies have been carried out to study and assess the influence of predecessors on the agrocenosis, yield and grain quality of promising varieties of Adel, Grom, Tanya winter wheat. According to the experimental scheme, peas, corn for silage and sunflower have been identified as the preceding crops for winter wheat. Agrotechnology in experience is generally accepted for the foothill zone of the Republic of Adygea. The results of the research made it possible to identify the most optimal of the considered predecessors in the cultivation of winter wheat, capable of providing stable yields with high quality grain. Certain differences in the photosynthetic activity of the studied winter wheat varieties for different predecessors have been noted. It has been found that the leaf area of winter wheat varieties is in the range of 30,0–33,5 thousand m2/ha. The highest dry matter content in the range of 4,9–5,0 t/ha is observed in the Grom variety, and the predecessor is peas. The largest number of grains in an ear for three previous crops is 40–43 pcs / ear for peas. It also had a fairly significant effect on the weight of 1000 grains and the grain yield of winter wheat. For example, the weight of 1000 grains of the most productive Thunder variety varied from 40,1 to 41,6 gm, depending on the previous crop. According to the results of the experiments, the highest grain yield of winter wheat within the range of 5,3 t/ha has been noted for the Grom variety when cultivated for peas. The smallest grain yield in the range of 3,8–3,9 t/ha is typical for all studied varieties of winter wheat, namely, according to the cultivated predecessor – sunflower.

scholarly journals COMPARATIVE ESTIMATION OF RIVER RUNOFF FORMATION IN THE CLIMATIC ZONES OF GORN PAMIR

2020 ◽  
Vol 12 (3) ◽  
pp. 366-372
Author(s):  
Parviz NORMATOV ◽  
◽  
Inom NORMATOV ◽  
Richard ARMSTRONG ◽  
◽  
...  
Keyword(s):  
Statistical Processing ◽  
River Basins ◽  
Climatic Conditions ◽  
Meteorological Conditions ◽  
The State ◽  
Climatic Zones ◽  
River Flows ◽  
Hydrological Characteristics ◽  
Temperature And Precipitation

The research object. The hydrological characteristics of the Gunt and Vanch rivers belonging to the Southwestern and Central climatic zones of the Pamirs and are tributaries of the transboundary Pyanj River are considered. Long-term average values of temperature and precipitation as the main factors affecting the formation of river flows are determined for the period 1944–2016. The state of glaciation in the basins of the respective rivers is estimated. Goal. A comparative assessment of the influence of climatic features and mountain orography on the formation of river flows. Determination of the trend of changes in the climatic conditions of the Gunt and Vanch river basins at different periods of more than 70 years (1944–2016). Research methods. Generalization, systematization of meteorological and hydrological characteristics and determination of their change compared with the base period 1960–1990. Statistical processing of meteorological and hydrological data and establishing a trend of changes in climatic and hydrological characteristics using a differentiated method. Research results. It is shown that the nature of changes in hydrological characteristics, namely the flow of rivers in different climatic zones of the Pamir can differ significantly. On the example of two rivers (Gunt and Vanch) - tributaries of the transboundary Pyanj river, it is shown that the trend of change in the flow of the Gunt river differs from the Vanch river due to the state of glaciation of the river basin. To explain the results the meteorological conditions of the respective river basins and their possible impact on river hydrology were studied. Conclusion. The hydrological characteristics of the Gunt and Vanch rivers in the Pamirs taking into account the meteorological conditions of the respective river basins show that a key factor in improving the state of glaciation and reducing degradation processes, as well as achieving positive trends in the mass balance of glaciers is the presence of sufficient air mass in the glaciation zone. Naturally, this is the key to ensuring a sufficient amount of runoff.

scholarly journals The influence of environment forming factors on the productivity of winter wheat

2021 ◽  
Vol 207 (04) ◽  
pp. 9-16
Author(s):  
Valeriy Burluckiy ◽  
Polina Semeshkina ◽  
Vladimir Mazurov
Keyword(s):  
Winter Wheat ◽  
Statistical Processing ◽  
Mineral Fertilizers ◽  
First Year ◽  
Wheat Grain ◽  
Significance Level ◽  
Research Results ◽  
Yield And Quality ◽  
Close Relationship

Abstract. The goal is to study the influence of the predecessor and fertilizers on the yield and quality of winter wheat grain. Methods. The studies were carried out in a long-term stationary field experiment on a gray forest medium loamy soil. Field experience, observations, accounting and generalization of research results were carried out in accordance with the methodological recommendations of B.A. Dospekhov. Statistical processing of the research results was performed using Microsoft Excel 2007 with a 95 % significance level of the results. Results. As a result of the studies, it was noted that the studied predecessors had an insignificant effect on the development of winter wheat plants in the initial phases of growth. The density of winter wheat plants during the germination period varied within the range of 314–323 psc/m2 without the use of fertilizers and 317–328 psc/m2 against the background of their application. Further growth and development of plants took place in close relationship with the studied factors. At the end of the growing season, the number of productive stems was higher on the plots, where the clover of the first year of use was used as a predecessor, both in the control (without fertilizers) and when applying mineral fertilizers. Accordingly, the yield of winter wheat grain was higher for this predecessor, averaging 35.7 c/ha for 2014–2019. Without fertilization, depending on the predecessor, 25.2–32.8 c/ha were obtained, against the background of fertilization – 34.2–39.6 c/ha of winter wheat grain. On average, over the years of research, winter wheat grain contained 10.7–14.0 % protein. Depending on the year, this indicator varied from 8.8 % to 16.8 %. At the same time, the lowest values for the protein content were obtained for the variants without the use of fertilizers. In general, the content of protein and gluten in winter wheat grain largely depended on the application of mineral fertilizers and to a small extent on the predecessor. The weight of 1000 grains, depending on these factors, changed insignificantly.

scholarly journals ISAR Signal Tracking and High-Resolution Imaging by Kalman Filtering

2021 ◽  
Vol 13 (17) ◽  
pp. 3389
Author(s):  
Pei Ye ◽  
Meng-Dao Xing ◽  
Xiang-Gen Xia ◽  
Guang-Cai Sun ◽  
Yachao Li ◽  
...  
Keyword(s):  
High Resolution ◽  
Kalman Filtering ◽  
State Vector ◽  
Observation Time ◽  
The State ◽  
Range Resolution ◽  
Resolution Image ◽  
High Resolution Image ◽  
Reconstruction Performance ◽  
Short Observation Time

In a short observation time, after the range alignment and phase adjustment, the motion of a target can be approximated as a uniform rotation. The radar observing process can be simply described as multiplying an observation matrix on the ISAR image, which can be thought of as a linear system. It is known that the longer observation time is, the higher cross-range resolution is. In order to deal with the conflict between short observation time and high cross-range resolution, we introduce Kalman filtering (KF) into the ISAR imaging and propose a novel method to reconstruct a high-resolution image with short time observed data. As KF has excellent reconstruction performance, it leads to a good application in ISAR image reconstruction. At each observation aperture, the reconstructed image denotes the state vector in KF at the aperture time. It is corrected by a two-step KF process: prediction and update. As iteration continues, the state vector is gradually corrected to a well-focused high-resolution image. Thus, the proposed method can obtain a high-resolution image in a short observation time. Both simulated and real data are applied to demonstrate the performance of the proposed method.

Discrimination of powdery mildew and yellow rust of winter wheat using high-resolution hyperspectra and imageries

2017 ◽  
Vol 46 (1) ◽  
pp. 138004
Author(s):  
梁栋 Liang Dong ◽  
刘娜 Liu Na ◽  
张东彦 Zhang Dongyan ◽  
赵晋陵 Zhao Jinling ◽  
林芬芳 Lin Fenfang ◽  
...  
Keyword(s):  
High Resolution ◽  
Powdery Mildew ◽  
Winter Wheat ◽  
Yellow Rust

scholarly journals Content of heavy metals in Haplic Chernozem under conditions of agrogenesis

2020 ◽  
Vol 169 ◽  
pp. 01024
Author(s):  
Anna Medvedeva ◽  
Olga Buryukova ◽  
Alexey Kucherenko ◽  
Yaroslav Ilchenko ◽  
Victor Chaplygin ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Winter Wheat ◽  
Total Content ◽  
Background Level ◽  
Resource Saving ◽  
Agricultural Technologies ◽  
Long Term Study ◽  
Mobile Forms ◽  
Zn And Cu In ◽  
The Impact

The paper presents the results of a long-term study on the content and distribution of heavy metals in Haplic Chernozem of agrocenoses in southern zone of Rostov Region. The impact of various agricultural technologies traditional (using moldboard ploughing) and resource-saving (minimum and No-till) on accumulation and mobility of Pb, Zn, Cu in Haplic Chernozem in winter wheat cultivation is considered. The total content of Pb, Zn, Cu in the winter wheat areas corresponds to the background level and does not exceed permissible concentrations. Low mobility of elements (Pb 2.0-3.0%; Zn and Cu up to 1.0% as a percentage of their total forms) is a regional soil feature. In addition, the low availability of Zn and Cu in soils is due to their removal with the crops in the absence of micronutrient fertilizer replenishment. The significant role of soil organic matter in the accumulation of both total and mobile forms of heavy metals in soil has been confirmed. The intensity of the cultivation methods used has a significant effect on the total content of Zn, Cu and on the mobility of Pb, Zn, Cu in Haplic Chernozem.

scholarly journals AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)

2019 ◽  
Vol 11 (12) ◽  
pp. 1413 ◽  
Author(s):  
Víctor González-Jaramillo ◽  
Andreas Fries ◽  
Jörg Bendix
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicle ◽  
Tree Level ◽  
Mountain Forest ◽  
Multispectral Images ◽  
Individual Tree ◽  
Tropical Mountain ◽  
Aerial Vehicle ◽  
Rgb Images ◽  
Very High

The present investigation evaluates the accuracy of estimating above-ground biomass (AGB) by means of two different sensors installed onboard an unmanned aerial vehicle (UAV) platform (DJI Inspire I) because the high costs of very high-resolution imagery provided by satellites or light detection and ranging (LiDAR) sensors often impede AGB estimation and the determination of other vegetation parameters. The sensors utilized included an RGB camera (ZENMUSE X3) and a multispectral camera (Parrot Sequoia), whose images were used for AGB estimation in a natural tropical mountain forest (TMF) in Southern Ecuador. The total area covered by the sensors included 80 ha at lower elevations characterized by a fast-changing topography and different vegetation covers. From the total area, a core study site of 24 ha was selected for AGB calculation, applying two different methods. The first method used the RGB images and applied the structure for motion (SfM) process to generate point clouds for a subsequent individual tree classification. Per the classification at tree level, tree height (H) and diameter at breast height (DBH) could be determined, which are necessary input parameters to calculate AGB (Mg ha−1) by means of a specific allometric equation for wet forests. The second method used the multispectral images to calculate the normalized difference vegetation index (NDVI), which is the basis for AGB estimation applying an equation for tropical evergreen forests. The obtained results were validated against a previous AGB estimation for the same area using LiDAR data. The study found two major results: (i) The NDVI-based AGB estimates obtained by multispectral drone imagery were less accurate due to the saturation effect in dense tropical forests, (ii) the photogrammetric approach using RGB images provided reliable AGB estimates comparable to expensive LiDAR surveys (R2: 0.85). However, the latter is only possible if an auxiliary digital terrain model (DTM) in very high resolution is available because in dense natural forests the terrain surface (DTM) is hardly detectable by passive sensors due to the canopy layer, which impedes ground detection.

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