AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
WOS Indexed (2026)
30 Jun 2026 (Vol - 57 , Issue- 07 )
31 Jul 2026 (Vol - 57 , Issue 07 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
DEEP LEARNING-DRIVEN STREAM FLOW FORECASTING: A NOVEL APPROACH
Precise streamflow forecasting is essential for managing water resources, controlling flooding, planning irrigation, and guaranteeing agricultural sustainability. This study employs 38 years of monthly flow of the stream data from the Cholachagudda dam on the Malaprabha River, India, to evaluate and compare the performance of deep learning models, including CNN, RNN, LSTM, GRU, and a Transformer-based architecture. With the lowest RMSE (76.02), MAE, and quantile loss (20.72), the Transformer model performs better than alternative topologies, according to the dataIt overcomes the drawbacks of sequential models like LSTM and GRU by successfully identifying complicated temporal patterns and long-range relationships through its self-attention mechanism. This study highlights the challenges of predicting streamflow in non-linear hydrological systems, particularly for models limited to temporal data. By offering a thorough assessment, this study highlights the revolutionary potential of deep learning in hydrological forecasting and establishes the foundation for future developments in streamflow prediction techniques.
Characterization of Thanjavur Black Goats of Tamil Nadu
The habitat, distribution, morphology, morphometric and production performance of the Thanjavur Black goats were studied by a pretested interview schedule in the eastern districts of Tamil Nadu. A study was undertaken on 250 randomly selected goat flocks in Thanjavur, Nagapattinam, Thiruvarur, Tiruchirappalli and Pudukkottai districts of Tamil Nadu. Thanjavur Black goat is a compact, medium-sized, black-coloured animal. Coat is uniformly black and covered with short, straight black hair. The least squares means of height at withers, chest girth and body length of an adult goat were 61.59 ± 0.17, 59.71 ± 0.21 and 58.08 ± 0.25 cm respectively. The least squares means for body weight at birth, 3, 6, 9, 12 months and adult goats were 1.82 ± 0.02, 5.99 ± 0.05, 9.30 ± 0.07, 12.12 ± 0.09, 14.16 ± 0.08; and 22.63 ± 0.22 kg respectively. In all age groups of Thanjavur Black goats, the statistical analysis revealed a highly significant (P <0.01) effect of sex on body weight were observed. The overall dressing percentage was 51.02% at 20.63 months. The average age at first mating, age at first kidding and kidding intervals were 9.58 ± 0.10, 14.93 ± 0.10 and 7.89 ± 0.15 months respectively. The life time number of kidding in a doe was 6.66 ± 0.09. The average litter size of the does pooled over parities was 1.71 ± 0.03 and the incidence of multiple births was 57.21 per cent. This indigenous germplasm needs to be recognized by the NBAGR, Karnal as a separate breed.
Emergency Room Risk Assessment with L-Type Matrix
The commonly used definition of “risk” in the literature is the probability of an undesirable event/occurrence taking place within a specific time frame. This requires a comprehensive risk analysis to identify these undesirable events/occurrences, calculate the severity of the associated risk, and determine whether the risk is tolerable. While risk analysis is essential for all organizations regardless of their size, the type of risk analysis to be performed, the methodology to be used, and the development of solutions to risks are determined by the type of company. Healthcare facilities require special care when it comes to risk analysis practices, as they are crucial for the health and safety of both patients and staff. Because of this, picking the right methodology, figuring out the risks, and sorting them based on how serious they are is super important for hospital management. This study, which aims to provide services within the scope of this work, conducted a risk assessment for an Emergency Room (ER) employee at the third level healthcare institution using the Risk Assessment Matrix (L-Type Matrix) approach for the purposes mentioned above.
SEBACEOUS GLAND ADENOMA AND SEBACEOUS GLAND ADENOCARCINOMA IN DOGS: INCIDENCE AND PATHOLOGICAL DIAGNOSIS OF 54 CASES
Sebaceous gland tumours were diagnosed in 54 dogs through cytological and histopathological examination of samples obtained from tumour-suspected masses. Among these, sebaceous gland adenomas accounted for 24 cases, while sebaceous gland adenocarcinomas comprised 30 cases. In the breed, sex, age, and anatomical location-wise analysis, the highest incidence of sebaceous gland adenoma was recorded in Labradors, male dogs, within the 5–10 years age group, with a predilection for the limbs. Similarly, sebaceous gland adenocarcinoma showed the highest occurrence in Labradors, male dogs, of the same 5–10 years age group, but were more commonly located on the trunk and ears. Sebaceous gland adenomas exhibited clusters of neoplastic basal cells with round to oval nuclei, finely stippled chromatin, and vacuolated cytoplasm resembling mature sebocytes cytologically, and in histopathological examination, revealed clusters of neoplastic cells arranged in multiple lobules and basophilic reserve cells with hyperchromatic nuclei. Sebaceous gland adenocarcinomas revealed variably sized cell clusters with hyperchromatic nuclei, coarse chromatin, and foamy cytoplasm cytologically, and in histopathological examination, lobules of variably sized neoplastic cells exhibiting anisokaryosis, vesicular nuclei with prominent nucleoli, and frequent mitotic figures were seen.
Transitional Cell Carcinoma(TCC) in dogs: Incidence and Cytological diagnosis of 45 cases in Chennai
Transitional cell carcinoma (TCC) was diagnosed in 45 dogs based on cytological examination of urine samples. Breed-wise, the highest incidence was observed in non-descript and Labrador Retriever breeds. Males and dogs aged between 5 to 10 years were most frequently affected, as revealed by sex and age-wise analysis. Cytologically, neoplastic transitional cells were observed both as individual cells and in multifocal clusters. The neoplastic cells exhibited marked anisocytosis and anisokaryosis. The nuclei were predominantly round to ovoid in shape, often containing multiple prominent nucleoli. Additional nuclear abnormalities including binucleation, multinucleation, and nuclear moulding were also observed. The cytoplasm of neoplastic cells appeared deeply basophilic, with varying numbers and sizes of cytoplasmic vacuoles. Urinary tract infection (UTI) was concurrently diagnosed in 11 cases (78.57%). Bacterial culture of urine samples from dogs diagnosed with TCC revealed the presence of Staphylococcus spp., Escherichia coli, and Pseudomonas spp.