Research in Agricultural Engineering, 2026 (vol. 72), issue 1
A novel ensemble convolutional neural networksfor rice disease identificationOriginal Paper
Richard Alvin Pratama, Nabila Husna Shabrina
Res. Agr. Eng., 2026, 72(1):1-13 | DOI: 10.17221/59/2024-RAE 
Rice is a crucial food commodity worldwide, particularly in Asian countries. However, various factors, such as drought, floods, and pest attacks, can lead to the emergence of diseases in rice plants. Accurately identifying these diseases poses a significant challenge for farmers, often leading to significant yield losses. Conventionally, farmers rely on manual methods based on their experience and visual inspections to identify rice diseases. However, this approach is highly ineffective, time-consuming, and prone to error. This study aimed to address this issue by proposing advanced deep learning techniques, an ensemble learning method, to automate...
Estimating changes in the Khisar glacier, using remote sensing data and GIS technologies for the assessment of water use in agriculture (Surkhandarya valley, Uzbekistan)Original Paper
Shokhjakhon Khamidullaev, Rustam Oymatov, Ilhom Abdurahmanov, Ilkhom Aslanov
Res. Agr. Eng., 2026, 72(1):14-24 | DOI: 10.17221/141/2025-RAE
Climate change is speeding up the melting and retreat of glaciers, which is a big threat to water security in dry and semi-dry areas like Uzbekistan. To understand how glaciers affect regional hydrological systems and to come up with adaptive water management strategies, it is important to keep an eye on how they change over time. This study examines the temporal changes of the Khisar Glacier in the Surkhandarya Basin by combining remote sensing data from different times with a GIS-based spatial analysis. We looked at Landsat images from 1990, 2000, 2010, and 2024 to see how the size of the glaciers has changed and how that relates to weather...
Modelling the hydration process of wheat grain with layer-dependent diffusion coefficientsOriginal Paper
Bakhtiyar Ismailov, Abdushukur Urinboev, Khairulla Ismailov, Akmaljon Kuchkarov
Res. Agr. Eng., 2026, 72(1):25-40 | DOI: 10.17221/101/2025-RAE
This study develops and validates a multilayer diffusion model of wheat grain hydration that incorporates layer-dependent diffusion coefficients for bran, endosperm, and germ. The moisture transport is formulated using Fick’s law with two interface formulations: (i) classical continuity of the concentration and flux and (ii) an interlayer resistance formulation that permits concentration discontinuities. Diffusion coefficients and geometric parameters were determined experimentally; A 3D grain model (structured-light scanning, COMSOL Multiphysics) informed the computational domain. Numerical solutions combined...
Research on the optimal design and process parameters of a castor seed cleaning machineOriginal Paper
Elchyn Aliiev, Valentyn Holovchenko, Olha Aliieva
Res. Agr. Eng., 2026, 72(1):41-58 | DOI: 10.17221/121/2025-RAE
In the context of the modern EU bioeconomy, the use of industrial crops, particularly castor beans (Ricinus communis L.), is relevant for the production of industrial and energy products without competing with food crops. Castor oil is used for the production of biodiesel, lubricants, paints and coatings, cosmetics, and pharmaceuticals. In Ukraine, castor beans can be cultivated on low-yield soils, with seed yields ranging from 1.5 t/ha to 2.1 t/ha depending on the variety. However, the morphological features of the fruits and uneven ripening complicate the mechanisation of harvesting and seed cleaning processes. Existing equipment designed...
A spectral signature-based algorithm for the identifiability of crops and their cultivation conditionsOriginal Paper
Sarah El Azizi, Halima Taia, Abdes-Samed Bernoussi, Mina Amharref, Edyta Wozniak
Res. Agr. Eng., 2026, 72(1):56-69 | DOI: 10.17221/163/2025-RAE
Recent advancements in remote sensing techniques, especially the combination of hyperspectral imaging with analytical algorithms, have greatly improved precision agriculture. This study introduces some algorithms developed for identifying crops and evaluating their growth conditions, focusing on irrigation and fertilisation. The present approach is based on the concept of identifiability of a family of dynamic systems and the differentiation of plants using their spectral signatures. The method uses a repository of spectral data and applies a developed algorithm to compare...
The effects of temperature on biogas production rate and purityOriginal Paper
Romeica Noe Rimorin, Christian Mark Felix, Roger Jay Lamadrid De Vela
Res. Agr. Eng., 2026, 72(1):70-79 | DOI: 10.17221/104/2025-RAE
This study investigated the effects of temperature on the performance of anaerobic digesters for biogas production. Digesters were filled with a 1 : 1 ratio of substrate to water, containing 15 kg of cow dung and 3 kg of crop waste, and maintained at temperatures of 50 ± 2 °C and 30 ± 2 °C, corresponding to the thermophilic and mesophilic biodigesters, respectively. The experiments run for 75 days, and biogas production rate and purity were measured. The thermophilic digester produced 48.4% more biogas and had a slightly higher pH (7.65) than did the mesophilic digester (7.37) by the end of the observation period. However,...