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The article presents results of the testing of some physical laws of the phenomenon of interaction between soil and the working parts of agricultural machines destined to the soil tillage. The authors try, gradually, to clarify the quality of the approximation of the tillage draft forces of the tillage machines, offered by the multitude of mathematical models and their variants from the literature. The presented material reflects the situation that the authors consider to be characterized, apparently, by heterogeneity regarding the use of formulas for the draft soil tillage force. In essence, a disputed response between the practical and didactic utility is outlined, that is simple formulas (which are very particular, because they take into account few parameters of the phenomenon) that approximate very well the experimental values, vs. complex formulas, with a large number of parameters that characterize (explain) the phenomenon well, but which require a large number of data for application and have lower accuracy than simple formulas. A third way, also with great age, namely, that of statistical interpolation formulas, with high accuracy, but small generality, based on concrete experiences (which are difficult to generalize) and which often do not fully satisfy dimensionality requirements (for the physical correctitude). It is presented in the paper. [ABSTRACT FROM AUTHOR]

The article presents researches on the use of drones in agriculture. Going away from military and espionage applications, like many other inventions of mankind, drones have finally come to peaceful applications. The inclusion of top technologies in the construction and endowment of drones has made these devices very useful in many applications, such as: industry, agriculture, health, civil engineering, environmental protection, local administrations, security and guarding, transport, etc. In the literature, various methods of using drones that will revolutionize agriculture are formulated, as follows: soil and field analysis, planting, spraying crops, crop monitoring, irrigation, crop health assessment and remote sensing. Agricultural drones ensure permanent crop monitoring from planting to harvesting. Data collected by drones is translated into useful and easy to understand information by farmers, due to specific algorithms. Highresolution images and data taken by drones that fly over farmland are collected and transmitted in cloud, or are provided to customers, who can analyze them using their own instruments or specialized software. Due to these data, the user can select the desired information and can perform different treatment maps, depending on the operation, which the farmer wishes to perform in the field. Maps can then be loaded on the agricultural equipment, which will adjust accordingly, the amount of raw materials (seeds, fertilizers, pesticides) applied in the field. The mapping tasks and the management of the activities of the crops administration treatment have been partly taken over by drones from the GPS satellite systems. The crops most closely supervised with drones are: cereals, legumes, rapeseed and sunflower, then orchards and vineyards. The drones collect information about plant status and perform analyzes of these stages. The resulting data is communicated to farmers, in order to quickly assess the situation in the field and apply appropriate treatments when is needed, in order to reduce the damage caused by diseases or pests. [ABSTRACT FROM AUTHOR]