A spectral directional reflectance model of row crops

2010 ◽  
Vol 114 (2) ◽  
pp. 265-285 ◽  
Author(s):  
Feng Zhao ◽  
Xingfa Gu ◽  
Wout Verhoef ◽  
Qiao Wang ◽  
Tao Yu ◽  
...  
Keyword(s):  
Row Crops ◽  
Reflectance Model ◽  
Directional Reflectance

scholarly journals Implementing directional reflectance in a colour managed workflow

2020 ◽  
Vol 2020 (1) ◽  
pp. 119-123
Author(s):  
Tanzima Habib ◽  
Phil Green ◽  
Aditya Sole
Keyword(s):  
Distribution Function ◽  
Bidirectional Reflectance Distribution Function ◽  
Bidirectional Reflectance ◽  
Reflectance Model ◽  
Bidirectional Reflectance Distribution ◽  
Directional Reflectance

This paper implements an appearance rendering workflow using the iccMAX architecture with the aim of reproducing the directional appearance of surface colours on a display. In previous work, the prints were measured bidirectionally using an image-based measurement setup, and the bidirectional reflectance distribution function of the materials was estimated using the well-established Ward reflectance model. This function was applied in a colour managed workflow using the ICC.2 architecture to render the appearance of the prints on a display. The seven used as samples to the renderings.

scholarly journals Estimating Fractional Vegetation Cover of Row Crops from High Spatial Resolution Image

2021 ◽  
Vol 13 (19) ◽  
pp. 3874
Author(s):  
Xu Ma ◽  
Lei Lu ◽  
Jianli Ding ◽  
Fei Zhang ◽  
Baozhong He
Keyword(s):  
Spatial Resolution ◽  
Precision Agriculture ◽  
Vegetation Cover ◽  
High Spatial Resolution ◽  
World View ◽  
Canopy Reflectance ◽  
Row Crops ◽  
High Spatial Resolution Image ◽  
Fractional Vegetation Cover ◽  
Reflectance Model

With high spatial resolution remote sensing images being increasingly used in precision agriculture, more details of the row structure of row crops are captured in the corresponding images. This phenomenon is a challenge for the estimation of the fractional vegetation cover (FVC) of row crops. Previous studies have found that there is an overestimation of FVC for the early growth stage of vegetation in the current algorithms. When the row crops are a form in the early stage of vegetation, their FVC may also have overestimation. Therefore, developing an algorithm to address this problem is necessary. This study used World-View 3 images as data sources and attempted to use the canopy reflectance model of row crops, coupling backward propagation neural networks (BPNNs) to estimate the FVC of row crops. Compared to the prevailing algorithms, i.e., empirical method, spectral mixture analysis, and continuous crop model coupling BPNNs, the results showed that the calculated accuracy of the canopy reflectance model of row crops coupling with BPNNs is the highest performing (RMSE = 0.0305). Moreover, when the structure is obvious, we found that the FVC of row crops was about 0.5–0.6, and the relationship between estimated FVC of row crops and NDVI presented a strong exponential relationship. The results reinforced the conclusion that the canopy reflectance model of row crops coupled with BPNNs is more suitable for estimating the FVC of row crops in high-resolution images.

Formation of botanical composition of clover cereal and alfalfa cereal crops agrophytocenoses depending on sowing method

2020 ◽  
pp. 160-168
Author(s):  
I. Senyk
Keyword(s):  
Festuca Arundinacea ◽  
Global Climate ◽  
Phleum Pratense ◽  
Grass Species ◽  
Cereal Crops ◽  
Forest Steppe ◽  
Botanical Composition ◽  
Cross Sectional ◽  
Row Crops ◽  
Adverse Weather

Botanical composition of grasses is one of the most important indicators the biological value and quality of the obtained hay and pasture forage, the longevity of hayfi elds and pastures depend on. The issue of changing the botanical composition of agrophytocenoses is especially important in the context of global climate change, which in recent decades is also manifested in the territory of Ukraine, as it is possible to establish the most adapted species of legumes and cereals to adverse weather conditions and to identify eff ective technological methods of managing these processes for maximum conservation economically valuable species in the herbage. The purpose of the research is to establish the infl uence of diff erent ways of sowing of clover and alfalfa cereal crops agrophytocenoses on the formation of their botanical composition. Field studies have established diff erent eff ects of conventional in-line, cross-section and cross-sectional methods of sowing on the formation of botanical composition of grass mixtures of clover meadow (Trifolium pratense) varieties Sparta and Pavlyna with timothy meadow (Phleum pratense) and fenugreek multifl oral (Lolium multifl orum) and of agrophytocenoses of alfalfa of Sinyukha and Seraphima sowing varieties with reed fire (Festuca arundinacea Schreb) and middle wheatgrass (Elytrigia intermedia). For the average of four years of life of clover and alfalfa cereal crops agrophytocenoses, the highest proportion of legume component was observed with split-cross sowing – 51.6 % for Sparta, 53.1 % for Pavlyna, 60.3 % for Seraphima and 61.6 % for the Sinyukha variety. In the fourth year of life (the third year of use) of sowed leguminous-cereals agrophytocenoses, the preservation of the legume component was 14.6–15.5 % in clover-cereals grass mixtures with the Sparta variety and 16.0–16.8 % with the Pavlyna variety. In alfalfa grasslands, these indicators were 54.0–55.1 % with Seraphim and 55.0–56.2 % with Sinyukha. Among the studied varieties of clover meadow and alfalfa sowing proved better in the conditions of the Forest Steppe of western Pavlyna and Sinyukha. Cross-sectional and divided cross-sectional sowing of legumes and cereals mixtures proved to be better compared to conventional row crops in terms of conservation of economically valuable grass species. Key words: agrophytocenosis, botanical composition, clover meadow, alfalfa sowing, sowing methods.

EFFECTIVENESS OF DOSING APPLICATION OF BENATAL GROUP HERBICIDES IN SUGAR BEET SOWING

1970 ◽  
pp. 49-51
Author(s):  
V. Z. Venevtsev ◽  
М. N. Zakharova ◽  
L. V. Rozhkova
Keyword(s):  
Sugar Beet ◽  
Agricultural Research ◽  
Humus Content ◽  
Crop Protection ◽  
Experimental Plot ◽  
Agricultural Research Institute ◽  
Row Crops ◽  
Sugar Beet Variety ◽  
Sowing Machine

Ryazan region annually receives stable yields of sugar beet roots 40 t/ha. Further growth of yields depends on balanced nutrition of plants cultivated hybrids, from the quality of the soil and of the phytosanitary State of sowing culture. Weed vegetation in wider spaced row crops of sugar beet in the initial periods of vegetation is high competition culture. The article presents the results of three studies on the effectiveness of the herbicide betanalnoj group, used to reduce contamination of sowing culture annual dicotyledonous weeds and increase the harvest of sugar beet roots. Studies conducted on experimental fields ISSA-branch FGBNU FNAC WIM (former AGRICULTURAL RESEARCH INSTITUTE in Ryazan). Soil: dark grey forest tjazhelosuglinistaja, humus content 4.0%, potassium and phosphorus-high pH is 5.8. Area of cultivated plots 50 m2, repetition, four sugar beet variety-Ocean. The predecessor-winter wheat. Under the autumn ploughing had made NPK120 under presowing cultivation-N60, SEV conducted seeder sowing machine. For crop protection herbicides were tested annually of sugar beet Betanal progress, UF-1.0 l/HA, Forte di Belvedere-1.0 l/HA, Betanal Max Pro-1.5 l/HA, Bajrang engineering works Super-1.5 l/HA, once applied to weeds. The harvest of sugar beet roots, take into account the square 10 m2 in 4-times repeated with each experimental plot by weighing machinery, processed data by ANOVA. The research found that studied herbicides efficiently at 87-92%, reduced infestation annual dicotyledonous weeds and increase the harvest of sugar beet roots to 29.9-44.1%

Sign in / Sign up

Export Citation Format

Share Document