Enormous fossil fuel consumption and rising of CO2 exhaust gasses emission has serious influence on greenhouse effect and global climate warming. Nowadays rising fossil fuel prices are leading to an increasing of agricultural products...

Tillage system is an eco-friendly farming method that can improve the soil health and increase the crop yields even under unfavorable climatic conditions. These benefits, however, will likely vary, based on the farming practice used, tillage, and crop types, which the current study seeks to address. During this triennial research, a crop rotation was as follows: soybeans (Glycine max L.), maize (Zea mays L.), and winter wheat (Triticum aestivum L.). This study aimed to determine the effects of different tillage approaches (conventional tillage [CT], disk harrowing [DH], chiseling [CH], and subsoiling [SS]) on a crop residue and a crop yield as the indicators. The applied tillage systems resulted in the statistically significant differences in some yield components. The highest yields, the highest harvest index, and the highest biological yield in the soybean and maize cultivation were achieved with the SS and CH tillage systems, followed by the DH and CT tillage. The conservation (CH and SS), reduced (DH), and conventional (CT) tillage systems resulted in the statistically significant differences in the number of postharvest residues remaining on the soil surface.

Intensive agricultural practices affect soil compaction, and their indirect and direct effects on crop growth and development are an increasingly important focus of scientific research. The objective of this study was to determine the influence of different tillage systems on soil compaction and to observe the influence of tractor tire pressure on penetrometer resistance during sowing. The three-year study was conducted on the heavy pseudogley soil of Brod-Posavina County in the Republic of Croatia. During the research, crops were observed in the following cropping sequence: soybean (Glycine max L.) in the first year, maize (Zea mays L.) in the second year and winter wheat (Triticum aestivum L.) in the third year. The tillage systems as the main study factor were conventional tillage (CT) plowing to a depth of 35 cm, disc tillage (DH) to a depth of 15 cm, loosening (CH) to a depth of 30 cm, and undermining (SS) to a depth of 50 cm. The following pressures were used as a subfactor of this study, namely the pressure of the front and rear tires of the tractor during sowing: p₁ (front 1.0 bar/rear 0.8 bar), p₂ (front 2.0 bar/rear 1.6 bar), and p₃ (front 3.0 bar/rear 2.4 bar). The tillage systems applied resulted in different soil compaction, thus the deepest tillage SS had the lowest resistance and the DH tillage had the highest resistance in all three experimental years. Penetrometer measurements showed the influence of tire pressure p₁ on reducing compaction as early as the first year in 2017, while in the last year of research in 2019, tractor tire pressure p₃ during sowing contributed to a significant increase in soil compaction.

U radu je prikazana suvremena poljoprivredna tehnika u zaštiti bilja i to putem termičke zaštite, korištenjem podtlačnih i nadtlačnih sustava, primjenom mehaničkim putem četkastih kultivatora i primjenom suvremenih robota. Upotrebom navedenih načina...

The next generation of agriculture mechanisation lies in the integration of autonomy, connectivity, and intelligence. This systematic review presents a conceptual, integrated engineering framework for safe and intelligent autonomy in agriculture tractors based on a systematic survey that covers major technical advances between January 2020 and May 2026, including research trends, key authors, conceptual clusters, etc. mapped by AI-assisted tools like Bibliometrix, Litmaps, and Elicit. We have a particular focus on the integration among three key research domains related to swarm robotics, secure telematics, and navigation through artificial intelligence. Important technical trends were identified, including but not limited to decentralised consensus algorithms for multi-vehicle coordination, lightweight telemetry secure protocols (CoAp/Oscore, DTLS), neural networks, and a fuzzy logic hybrid approach that adapts complex data to unstructured field constraints. Through the research reviewed, it was found that safety, decision-making, and collaboration are not designed and evaluated together as part of the overall proposed structure, which inhibits future expandability and safety. Based on current research in both areas and its shortcomings, an integrated concept was created that combines elements of decision-making, in-field telemetry, and safe decision-making from farm to cloud using security as the binding approach. At the end of the paper, three practical engineering guidelines are presented.

Brodovi za transport hlađenih tereta služe za transport lakopokvarljive robe kao što su meso, riba, voće i povrće. Roba se u njima slaže u posebno izgrađena skladišta gdje se prema vrsti tereta regulira i održava odgovarajuća temperatura. Uloga brodo...