Predicting opinion using deep learning: From burning to sustainable management of organic waste in Indian State of Punjab.

In winter season, the burning of crop residues for ease of sowing the next crop, along with industrial emissions and vehicular pollution leads to settling of a thick layer of smog in northern part of India. Therefore, to understand the opinion of farmers regarding sustainable management of organic waste, the present study was conducted in Ludhiana district of Indian state of Punjab. An ex post facto research design was used and a total of 800 dairy farmers having significant crop area were selected randomly for the study, grouped equally as small and large dairy farmers. Results revealed that majority of farmers had a highly favourable opinion regarding organic waste management due to the fact that they were aware of the ill-effects of undesirable practices like crop residue burning. Further, to predict the farmers' opinion and the effect of independent variables on farmers' opinion, a multi-layer perceptron feed-forward deep neural network was developed with mean squared error of 0.036 and 0.137 for validation and training data sets respectively, marking a novel approach of analysing farmers' behaviour. The neural network highlighted that with increase in the magnitude of input variables, namely, education, experience in dairying, information source utilisation, knowledge regarding organic waste management, etc., the farmers' opinion regarding sustainable waste management increases. The study concluded with the impression that cognitive processes like education, information and knowledge play a significant role in forming the opinion of the farmers. Therefore, efforts focusing on enhancing cognition should be made for sustainable management of organic waste.

Livestock and poultry farm wastewater treatment and its valorization for generating value-added products: Recent updates and way forward.

Livestock and poultry wastewater poses a potent risk for environmental pollution accelerating disease load and premature deaths. It is characterized by high chemical oxygen demand, biological oxygen demand, suspended solids, heavy metals, pathogens, and antibiotics, among other contaminants. These contaminants have a negative impact on the quality of soil, groundwater, and air, and is a potential hazard to human health. Depending on the specific characteristics of wastewater, such as the type and concentration of pollutants present; several physical, chemical and biological strategies have been developed for its treatment. This review aims at providing comprehensive overview of the profiling of livestock wastewater from the dairy, swine and poultry sub-sectors along with the biological, physico-chemical, AI-based and integrated treatment methodologies, and valorisation for the generation of value-added products such as bioplastics, biofertilizers, biohydrogen and microalgal-microbial fuel cells. Additionally, future perspectives for efficient and sustainable wastewater treatment are contemplated.

Adoption of scientifically recommended artificial insemination practices by paravets: a depiction of current scenario of four states in India.

The present investigation was done to assess the different practices followed by the AI technicians (paravets) while performing artificial insemination (AI). A total of 160 paravets were selected for the study having equal representation from 4 different states of India (Gujarat, Rajasthan, Telangana, and Odisha). Questionnaire and telephonic survey were used for collecting data. Several practices followed by paravets were assessed under three sub-groups, viz., practices followed prior to, during, and post-artificial insemination. In as many as seven practices, viz., gathering pre-AI information, storage of semen straw, time of performing AI, thawing container, wiping of semen straw, cutting of semen straw, and record keeping, the adoption gap was found to be nil. Maximum adoption gap (30.60%) was seen in "adopting basic sanitary measures," whereas about 13% of adoption gap was found in the case of "monitoring of heat post calving" followed by "checking of heat prior to AI" (8.00%). Hence, along with provision of necessary measures for water bath, apron, and gumboots by State Department of Animal Husbandry (SDAH), the paravets should be made aware about the importance of basic sanitary measures. Crystoscope availability should also be ensured as it is easy to use by paravets and farmers for heat detection.

Augmentation of farmers' income in India through sustainable waste management techniques.

The Government of India has envisaged a journey of doubling farmers' income till 2022-2023 and envisioned many policy reforms for the same. Farmers in India rely on major farm produce and do not utilize the by-products or wastes emerging from their farms for monetary benefits. Sustainable utilization of agricultural, household and livestock waste have the potential in augmenting farmers' income significantly which was established by conducting case studies in Ludhiana District of Punjab on three dairy farmers, each pursuing vermicomposting, biogas production and traditional composting. Comparative economic analysis in terms of various costs were worked out for vermicomposting, composting and biogas production. On analysis, it was found that the highest net returns per metric tonne of dung were obtained from vermicomposting (INR 2224.72, USD 29.42), followed by biogas production (INR 536.66, USD 7.10) and composting (INR 45.59, USD 0.60). Net returns from the dung obtained from one cattle equivalent were highest from vermicomposting (INR 11012.34, USD 145.64), followed by biogas production (INR 2656.74, USD 35.14) and composting (INR 225.68, USD 2.98). High profitability was accorded to vermicomposting because it is sold at remunerative prices. The study emphasizes the utilization of wastes through vermicomposting clubbed with biogas production for augmenting farmers' income.

Insights into organic waste management practices followed by dairy farmers of Ludhiana District, Punjab: Policy challenges and solutions.

The study was conducted in Ludhiana District of Punjab (India) to understand the organic waste management practices followed by dairy farmers of the area. To investigate the practices pertaining to organic waste management, an ex-post facto research design was used and a total of 80 dairy farmers were selected randomly for the study, grouped as small and large dairy farmers. Results revealed that the majority of the farmers were using paddy straw as animal bedding followed by in situ burning. As far as paddy stubbles were concerned, most of the farmers were mulching them followed by in situ burning. All farmers were found to be using wheat straw as livestock feed and mulching wheat stubbles. For household waste, the majority of the farmers were found to be feeding kitchen waste to their livestock, preparing farmyard manure from garden waste and paper waste. For dairy waste management, all the farmers were preparing farmyard manure from dung and discarding livestock urine in drains. A little more than half of the farmers were producing biogas from the dairy waste. The majority of the dairy farmers of the research area were found to have low organic waste utilization scores. Relational analysis was carried out and social participation and knowledge level were found to be highly significant (p < 0.01) with a positive effect on the organic waste utilization score. Therefore, the study was concluded with the impression that the knowledge level of the farmers needs to be enhanced for better and effective utilization of organic waste.