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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]

The importance of computers has become very popular, the interaction between man and machine is indispensable every day. People's need and desire to communicate with machines naturally led to the evolution of natural language processing. While progress is being made in this area, it is likely that voice interaction systems will replace most portable and digital devices such as keyboards, card readers, etc. This paper presents the main paradigms for speaker recognition, being one of the most important and needed biometric feature and it also focuses on the use of these biometric technology for interactive voice response system for agriculture assistance to farmers. Agriculture has been the primary occupation of human being. Generally farmers do not have the scientific information or competence to find out the cause and solution of any situation that could appear as diseases of their animals or even crops, behavioral features etc. They could have difficulties with understanding machine language or even typing. To facilitate the farmer’s access to information regarding the solution of a specific kind of livestock or crops matter this paper proposes a concept of an interactive voice response system through their mobile phones; a model with voice response in many languages. This model will be advantageous in following conditions: for people with disabilities, people with few PC knowledge or even those who are very busy. Biometric recognition or, simply, biometrics refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. The voice is a physiological feature (each person has a different vocal tract), but the recognition of a speaker is mainly based on the study of how it speaks, usually classified as behavioral. Speech recognition is a multi-application domain: security of any kind, telecommunication, daily activities, and now it could be used in agricultural situation. Speech Recognition summarizes a variety of issues such as recognizing isolated words, identifying speakers based on their voice tag, recognizing phonemes, etc. The utility of identifying people based on their voice is growing with the development of automation and telecommunication, and, also regarding the new-entry telephone line applications, the need to recognize the speaker has become more pressing. Speech recognition has a particularly high applicability due to the fact that this method is non-intrusive, universally accepted, with acceptable accuracy, and speech samples are easily sampled either by phone or by microphone. [ABSTRACT FROM AUTHOR]