Algorithm for calculation of reliability indicators based on monitoring of technical condition parameters

Material by definition of local indicators of reliability of self-propelled farm vehicles, on the basis of monitoring of the controlled resource parameters used for definition of technical condition of the equipment is presented in article. The main dependences when calculating local indicators of a resource are given, examinees of cars/knots/interfaces.

Order and control of emissions of the fulfilled gases of diesels at the new level

The standard of the organization directed on increase of efficiency and quality of monitoring procedure of emissions of harmful substances of the fulfilled gases of diesels of the capital repaired tractors and self-propelled farm vehicles which are in operation, intended for work and working in the conditions of unlimited and limited air exchange is developed and establishes norms of emissions of harmful substances with the fulfilled gases, means of their definition, at control and bench tests of tractors and the agricultural cars. Technical characteristics of the fuel and engine oil intended for test of the diesel are defined. Modern control devices are optimized and techniques of tool control of the maintenance of CO, CH and NOx in the fulfilled gases of diesels of page are the agricultural cars.

Method of calculation of the generalized indicator of reliability of CCXM on the example of the D-240 engine of the MTZ-80 tractor

In article there is a description of a method of calculation of the generalized indicator of reliability of the self-propelled farm vehicle (SSHM). This technique serves as the main tool at the choice of resource parameters which are used in system of online monitoring of technical reliability with ispolzovapniy satellite navigation (GLONASS, GPS) and/or the Internet network, at technical service of farm vehicles.

Order and control of emissions of the fulfilled gases of diesels at the new level

The standard of the organization directed on increase of efficiency and quality of monitoring procedure of emissions of harmful substances of the fulfilled gases of diesels of the capital repaired tractors and self-propelled farm vehicles which are in operation, intended for work and working in the conditions of unlimited and limited air exchange is developed — and establishes norms of emissions of harmful substances with the fulfilled gases, means of their definition, at control and bench tests of tractors and the agricultural cars. Technical characteristics of the fuel and engine oil intended for test of the diesel are defined. Modern control devices are optimized and techniques of tool control of the maintenance of CO, CH and NOx in the fulfilled gases of diesels of page are the agricultural cars.

IoT-Based Precision Agriculture System

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

SECURITY OF CROP PRODUCTION OF SOIL-PROCESSING TECHNIQUE: STATUS AND PROSPECTS

In Russia for the last 20 years the park of farm vehicles was repeatedly reduced and security of crop production with the soil-cultivating equipment and tractors has significantly worsened. Despite reduction of arable land more than on 40 million hectares, the number of cars on 1000 hectares during the present period are many times lower, than at the countries with the developed agriculture, including in Belarus. The main reasons for reduction of the area of the cultivated arable land, need of their elimination, including due to multiple increase and high-quality improvement of the machine park are specified. The analysis of current trends of development of tillage machines is carried out and the factors influencing this process are shown. The major requirements are increase in productivity due to increase in width of hijacking of cars and power of tractors, ensuring adaptability of cars to agrotechnical requirements due to use of replaceable working bodies and adapters, means of the automated control of quality of work and, in the long term, aggregation with the pilotless power means equipped with GLONASS systems. Types and the predicted need for priority tillage machines taking into account broader performance of pochvovlagosberegayushchy technologies, increases in arable land due to development of 20 million hectares of deposits and updating of the tractor park with his saturation by powerful enegosredstvo are given.

Farm size and volume of external transportation services at selected farm businesses

The present survey and data analysis confirmed the impact of the farm size (based on the Utilized Agricultural Area) on the volume of external transportation services despite the overall improvement of owned means of transport. The main transport characteristic, i.e. shipment distance increases with the farm size. Hence, the largest farm businesses characterized by higher commercial outputs use external transportation services to a greater extent although they own better quality and higher number of farm vehicles. At the average freight volume transported by external services of 4.37 tons per hectare of the Utilized Agricultural Area, the share of contracted transportation services in the total freight transport increases from 13.95 % in the smallest farms to 28.42 % in the largest farm businesses. This analysis was confirmed by the correlation analysis between the farm size and volume of external transportation services.