Results of using an electric drive platform for harvesting strawberries

The most common and cost-effective berry crop in the Russian Federation is strawberry garden. A feature of the cultivation of this crop is the increased labor costs, which reach up to 2000 people·h/ha, a large share of which is accounted for by manual harvesting operations. In this connection, the creation and use of an electric drive platform for the cultivation and harvesting of strawberries on an industrial plantation will significantly reduce labor costs, increase productivity and reduce the degree of labor fatigue in gardening. As a result of the conducted research, data on the effectiveness of the use of an electric drive platform for the operation of harvesting strawberries in the conditions of an industrial plantation of “ Sovhoz imeni Lenina”, so the productivity of harvesting strawberries increased by an average of 34.2%. The quality of the technological process of harvesting berries for the entire period of use of the platform was at the level of the usual manual harvesting. The completeness of the harvesting ranged from 95.8% in heavily thickened rows with a large number of weeds, to 99.5% in areas with good agricultural techniques for maintaining plantings and it is economically feasible to use an electric platform with a yield of more than 30 c / ha

Features of the building of three-dimensional models of agricultural parcels of land to assess the influence of the relief on the signal stability of cellular networks

The article examines main aspects of building threedimensional (3d) models of agricultural parcels of land on the example of generation of digital models of the experimental farm fields. Features and characteristics of the 3d field models building are given according to the results of the application of photogrammetry methods using a UAV (quadcopter) to obtain a heightmap of the investigated areas to compare it with the change in the density of the GSM signal coverage. The examples of digital terrain models (DTMs) obtained at different stages of the processing are given, the issues of using ready-made models for further analytical research on the example of a heightmap transformation for tracking and predicting negative processes, are considered

Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value

The article presents data on the state of the surveyed fields of winter wheat and spring barley of the experimental farm “Integration” of the Orel state agrarian university using satellite images. The dynamic values of the Normalized Difference Vegetation Index (NDVI) were obtained by analyzing satellite images of the experimental plots, starting with early flowering phase of agricultural crops. The corresponding maps were prepared based on these data; the data visualization and access to them were implemented on the GeoMixer base of the WebGIS platform. Digital processing of the information was provided with the digital processing program of the Earth remote sensing ScanEx Image Processor V.5.0. The boundaries of the experimental plots were determined by vector pathes (polygons) built into the digital environment of the composite control system (CСS) of the agricultural organization “AgroNetwork Technologies” (ANT). This software is the basis of the digital platform for the experimental farm of the university. The NDVI values for spring barley in the control zone are very low and amount to about 0.5 in the middle of the season, which predicts the yield to be twice lower than the optimal one