17 research outputs found
BENEFITS REGARDING THE IMPLEMENTATION OF AGRICULTURE 4.0 IN THE CURRENT CONTEXT
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. This paper presents some considerations regarding the technologies used in agriculture 4.0, namely: cheaper and more accurate sensors and microprocessors, cloud and IoT improvement and the use of radio units for data transmission and analysis and processing of large volumes of data
AUTOMATED DRIP IRRIGATION SYSTEM POWERED BY PHOTOVOLTAIC PANELS USED FOR AGRICULTURAL CROPS
Climate change, water scarcity and higher energy requirements and electric tariff compromises the continuity of the irrigated agriculture. Precision agriculture (PA) or renewable energy sources which are based on communication and information technologies and a large amount of data are key to ensuring this economic activity and guaranteeing food security at the global level. Several works which are based on the use of PA and renewable energy sources have been developed in order to optimize different variables of irrigated agriculture such as irrigation scheduling. In general, 70% of global water consumption goes to agriculture, for crop irrigation. Irrigated agriculture represents 20% of the total cultivated land (global average), but brings 40% of food
INTELLIGENT MONITORING OF DISEASED PLANTS USING DRONES
Plant diseases are one of the grand challenges that face the agriculture sector world-wide. In the United States, crop diseases cause losses of one-third of crop production annually. Despite the importance, crop disease diagnosis is challenging for limited-resources farmers if performed through optical observation of plant leaves’ symptoms. Therefore, there is an urgent need for markedly improved detection, monitoring, and prediction of crop diseases to reduce crop agriculture losses. Advanced imaging technologies can detect such changes, and can, therefore, be used as noninvasive crop monitoring methods. Furthermore, novel methods of treatment precision application are required. Both sensing and actuation technologies can be mounted on equipment moving through fields (e.g., irrigation equipment), on (un)manned driving vehicles, and on small drones
THE IMPACT OF USING EQUIPMENT WITH DIGITAL CONTROL ON MODERN AGRICULTURE 4.0 - REVIEW
Lately, the widespread use and continuous improvement of machine tools has had a significant impact on productivity in the manufacturing industry since the Industrial Revolution. At the beginning of the new era of industrialization, the need to advance machine tools to a new level, which corresponds to the Industry 4.0 concept, must be recognized and addressed. Like the various stages of industrialization, machine tools have also gone through various stages of technological advances, namely Machine Tool 1.0, Machine Tool 2.0 and Machine Tool 3.0. Industry 4.0 advocates for a new generation of machines - Machine Tool 4.0. This paper describes some of the key and desired features of the implementation of intelligent machines such as numerically controlled lathes and milling machine tool centers integrated vertically and horizontally in order to achieve a modern, intelligent, autonomous and safer agriculture
RESEARCH OF THE MAIN PROCESSING WORKS FOR ESTABLISHING A JERUSALEM ARTICHOKE CROP ON DIFFICULT AND CONTAMINATED SOILS
Jerusalem artichoke, is a technical plant that have some special features which make it suitable to be cultivated on degraded and difficult soils. However, processing difficult lands can cause major problems for farmers, in terms of using the right technology and reducing investment costs. The paper aim to address to the main challenges faced in preparing the soil for a Jerusalem artichoke culture, in order to maximize the productivity and efficiency
Persistent pre-seismic signature detected by means of Na-K-Mg geothermometry records in a saline spring of Vrancea area (Romania)
A six year-long hydrochemical monitoring operation was conducted in Vrancea seismic zone (Romania), addressing a saline spring that proved to be suitable for Na-K-Mg geothermometry diagnosis. During the considered time-interval (2003–2009), only one important earthquake (<i>m</i><sub>b</sub>=5.8) occurred in Vrancea region, this circumstance providing an unambiguous reference-moment between pre-seismic and post-seismic periods. On occurrence of that earthquake, an anomalous fluctuation of the Na-K temperature was detected – a result largely similar to previous ones recorded worldwide (California, southwest Egypt, northeast India). Yet such fluctuations may not necessarily be induced by earthquake-associated processes: they can occur also "routinely", possibly reflecting some environmental, meteorologically-induced "noise". It was therefore important to examine whether the variations observed in the data values could be plausibly related to a seismogenesis process. By additionally investigating (in a "scattterplot" diagram) the correlation between the Na-K temperatures and the values of a so-called "maturity index", a specific pattern emerged, with pre-seismic data-points plotting in a distinct domain of the diagram; moreover, those data-points appeared to describe a "drift away" pathway with respect to the remaining data-points "cluster", recorded during the subsequent 4 years of post-seismic monitoring. The "drift away" pattern persistently evolved for at least 18 months, ending just before the <i>m</i><sub>b</sub>=5.8 earthquake and consequently suggesting the existence of some kind of long-term precursory phenomenon