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Between now and the near future, the Internet of Things (IoT) will redesign the socio-ecological morphology of the human terrain. The IoT ecosystem deploys diverse sensor platforms connecting millions of heterogeneous objects through the Internet. Irrespective of sensor functionality, most sensors are low energy consumption devices and are designed to transmit sporadically or continuously. However, when we consider the millions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology, as well as the development of EE solutions for sustainable IoT technology, cannot be overemphasised. Propelled by this need, EE proposals are expected to address the EE issues in the IoT context. Consequently, many developments continue to emerge, and the need to highlight them to provide clear insights to researchers on eco-sustainable and green IoT technologies becomes a crucial task. To pursue a clear vision of green IoT, this study aims to present the current state-of-the art insights into energy saving practices and strategies on green IoT. The major contribution of this study includes reviews and discussions of substantial issues in the enabling of hardware green IoT, such as green machine to machine, green wireless sensor networks, green radio frequency identification, green microcontroller units, integrated circuits and processors. This review will contribute significantly towards the future implementation of green and eco-sustainable IoT.

AbstractThe global feed production has increased in the past few years. Despite the growing trend, the current production does not meet the demand in Kenya. The government of Kenya has initiated several efforts towards promoting fodder production to increase milk production and household income. This study analysed the effects of fodder production on household income in Homa Bay County, Kenya using the Propensity Score Matching (PSM) technique. The study used primary data collected through structured questionnaires in Homabay County, Kenya from a sample size of 300 smallholder farmers. Results indicated that years of schooling, herd size, household size, labour used in land preparation, and land size under fodder had a positive influence on the probability of farmers to mainly feed their livestock on Napier grass. On the contrary, the number of extension contacts negatively influenced the probability of farmers feeding their livestock on Napier grass. Results show that there was a significant difference between the incomes of farmers who fed their cattle on Napier grass and those who mainly grazed their cattle on natural grass. Specifically, smallholder farmers who fed their livestock on Napier grass reported a Kshs. 3,916.67 (USD 25.71) higher income than their counterparts who grazed their livestock on natural grass reflecting an increase by 24.94%. Thus, the study recommends the need for both the national and county governments to incorporate fodder production as a key area for livestock development agenda in their policy plans to improve the farmers’ income.

AbstractNewcastle disease (ND) poses a major challenge to Kenyan farmers who raise local chicken in a free-range system. The lack of consistent poultry rearing practices makes it unclear how farmers manage the disease. Insufficient awareness and negative perceptions contribute to the problem, leading to poor management and increased disease outbreaks. The extent of Kenyan farmers’ awareness and perceptions of ND also remains poorly documented. This study examined ND awareness, perceptions, and factors influencing awareness using a binary logit model on data from 332 farmers in high rainfall (Kakamega) and low rainfall (Machakos) regions in Kenya. Limited access to support services (34% extension, 25% training and 25% credit) was observed. The ND was perceived as a significant chicken disease, causing high mortality and losses during outbreaks. Awareness of ND was higher in high-rainfall areas. The household type, access to extension services and credit, training, and group membership significantly influenced ND awareness. Strengthening group membership is recommended for improved access to relevant information. Kakamega and Machakos county governments should invest more in targeted extension services, potentially collaborating with private providers and development partners. Financial institutions should also tailor their products to fit chicken farmers’ needs.

AbstractThis study modelled the properties of composite flour of maize and Pleurotus tuber-regium sclerotium (PTS) and the sensory properties of their meal. The simplex-centroid design was used for the experimental design. The properties of composite flour and their meal were determined. The indices indicating the validity of generated models were coefficient of determination (R2) values above 80%, except for swelling index and colour, with the average absolute deviation values close to 0 and bias factor and accuracy factor values approaching 1. The models adequately described the properties studied. The PTS flour improved crude protein and fibre contents, while maize and PTS flours had the synergistic effect of improving the antioxidant properties, of the composite flour. With an increase in maize flour, there was an improvement in taste, texture and overall acceptability of the meal. However, an increase in PTS flour resulted in an increase in colour preference and a decrease in taste, aroma and overall acceptability of the meal. PTS flour could be used to improve maize-based meal for food security, but a functionality-enhancing agent may need to be incorporated into the flour for better properties of the meal.

A comprehensive study spanning three kharif and rabi seasons (2018–2019, 2020–2021, and 2021–2022) was conducted to investigate the intricate interactions among different cropping sequences and their impacts on cumin yield, financial outcomes, and soil microbial dynamics. The experiment was designed using a randomized block design, comprising eight distinct treatment combinations, each replicated three times. The results revealed compelling insights into the potential of specific cropping sequences to enhance multiple aspects of agricultural sustainability. The results revealed that the highest cumin yield (averaging 592 kg ha−1 over the three years) was achieved when cumin was cultivated subsequent to pearl millet, showcasing significant increases of 14.28% and 23.07% over the cumin–fallow and cumin–cotton cropping systems, respectively. When it came to cumin equivalent yield, the cumin–cotton cropping sequence (985 kg ha−1) emerged as the most favorable, closely followed by cumin–groundnut (968 kg ha−1). Furthermore, analyzing net realizations and benefit–cost ratios demonstrated that the cumin–pearl millet cropping sequence stood out with the maximum values (₹88,235 ha−1 and 2.7, respectively), followed by the cumin–mung bean cropping system (₹84,164 ha−1 and 2.47, respectively). Among the various cropping sequences studied, cumin–mung bean, cumin–cluster bean, cumin–pearl millet and cumin–groundnut were recorded as statistically similar in terms of soil microbial enzymatic activities viz. fluorescein diacetate (FDA), alkaline phosphatase (ALP), dehydrogenase activity (DHA), and microbial biomass carbon and were at par over the cumin–sorghum, cumin–sesame, cumin–cotton and cumin–fallow cropping systems. These findings emphasize the significance of strategic crop sequencing for sustainable agriculture practices that simultaneously optimize productivity and maintain soil health.

AbstractApart from generating Gross Domestic Product (GDP), the dairy industry in Kenya contributes to the employment of over a million people along the milk value chain. The sub-sector, however, still experiences low productivity and extensive informal marketing. Farmers have, therefore, formed cooperative societies that have received support in cooling plants and access to dairy services, animal health and artificial insemination. However, participation by members of these cooperative societies is still low, and participation’s impact on income has not been determined. This study sought to assess the impact of the choice of cooperatives on smallholder dairy farmers’ incomes. Data was collected using a semi-structured questionnaire from a sample of 277 Nyamira and Homa Bay Counties farmers. An endogenous switching regression model was used to analyze data. The results indicated that cooperative market participation increased farmers’ incomes by about 10%. The results also revealed that distance to market, milk payment period, number of lactating cows, farm size, and farmer location influenced farmers’ decision to participate in the cooperatives. Furthermore, the level of education, number of lactating cows, farm size, access to off-farm income and access to extension services were significant in determining farmers’ income. This paper suggests policies that increase cooperative market participation for smallholder dairy farmers in Kenya.

With the escalating water scarcity in agriculture, a novel water-saving technique has emerged: drip irrigation with plastic film mulch (DI). Root function is crucial for sustaining rice production, and understanding its response to DI is essential. However, few studies have evaluated root systems in rice varietals and examined which kind of root system contributes to improving rice grain yield and water productivity in DI. If varietal differences of root reactions for water regimes were made clear, it might be more effective to find suitable varieties for DI and to improve grain yield in the DI system. To fill this knowledge gap, we conducted a two-year field experiment comparing two irrigation systems: continuous flooding (CF) and DI. We analyzed their effectiveness with four rice cultivars, including upland, F1 lowland, animal feed lowland, and lowland cultivars. Vertical root distribution, root bleeding rate, photosynthetic-associated parameters, water productivity, and yield performance were analyzed. In our study, the average grain yield of cultivars in the DI system (6.4 t/ha) was equivalent to those in the CF system (6.6 t/ha). The average water productivity under DI (0.34–0.75 kg m−3) demonstrated significant water-saving potential, saving approximately 35% of the total water supplied, resulting in higher water productivity compared to CF (0.27–0.51 kg m−3). Among the cultivars, the deep root weight of the upland cultivar significantly increased by 51% under DI compared to CF. The deep root ratio was positively correlated with the transpiration rate, grain yield, and water productivity, suggesting its contribution to high transpiration, thus maintaining a high carbon assimilation rate that results in high yield and water productivity. Therefore, deep roots are a notable trait corresponding to high yield under DI, and should be considered for the development of rice growth models for DI and the breeding of aerobic-adapted cultivars.

Sterility mosaic disease (SMD) is a serious biotic restraint in pigeonpea-growing regions of the Indian subcontinent. Disease control using chemicals like acaricides is not economical or sustainable, pointing towards host plant resistance as the ideal strategy for its management. In this study, from preliminary screening of 75 pigeonpea germplasm accessions and breeding lines, 21 pigeonpea genotypes showing moderate resistance to SMD were selected and again assessed at two multi-environment locations during Kharif 2021/2022 and 2022/2023. Analysis of variance partitioned the variation between the main effects of genotype and genotype × environment (GGE). The results revealed a significant variation (p ˂ 0.05) in the SMD incidence between the tested genotypes, environment, and their interactions. Genotype variance contributed the greatest effect (63.56%) to the total variation and it represents the maximum disease variation. Furthermore, a significant positive correlation was found for the levels of SMD incidence between the test environments. We observed that SMD incidence had a high negative correlation with the maximum temperature (r = −0.933), and positively correlated with the rainfall (r = 0.502). Analysis of principal components 1 and 2 of the GGE explained 95.33% of the total variation and identified 10 genotypes (G1, G3, G4, G8, G10, G12, G13, G15, G20, and G21) showing moderate resistance stability across the environments. As new sources of resistance to SMD, these genotypes should be incorporated in pigeonpea breeding trials for further release. This research broadens the area of phenotyping and identifies stable resistance sources that can be used in future SMD resistance breeding projects.