Production Security Research Articles

A Review on: Rice Disease Prediction

Abstract: Rice disease prediction is an emerging technology that leverages machine learning and image processing techniques to forecast disease outbreaks in rice crops. Early and accurate prediction of diseases like rice blast, bacterial leaf blight, and sheath blight is critical for maintaining crop health, optimizing resource use, and enhancing yield quality. This paper explores the use of high-resolution imaging and data-driven models to identify early signs of disease in rice plants. By analyzing data from multiple sources, including aerial imagery and environmental sensors, these predictive systems enable targeted and timely interventions, reducing the spread of infections and minimizing the use of pesticides. The application of predictive technologies not only aids in sustainable farming practices by lowering environmental impact but also aligns with the goals of precision agriculture to support food security and increase productivity. As agricultural practices continue to evolve, predictive models for rice disease management offer a promising solution for addressing the challenges posed by crop diseases in a changing climate

Advancing Water Security and Agricultural Productivity: A Case Study of Transboundary Cooperation Opportunities in the Kabul River Basin

The Kabul River Basin (KRB) is witnessing frequent flood and drought events that influence food production and distribution. The KRB is one of the world’s poorest regions regarding food security. Food security issues in the KRB include shifts in short-term climate cycles with significant river flow variations that result in inadequate water distribution. Due to the lack of hydro-infrastructure, low irrigation efficiency, and continuing wars, the Afghanistan portion of the KRB has experienced low agricultural land expansion opportunities for food production. This research assesses the relationship between flood mitigation, flow balances, and food production and, cumulatively, assesses the social and economic well-being of the population of the KRB. SWAT modeling and climate change (CCSM4) implications are utilized to assess how these relationships impact the social and economic well-being of the population in the KRB. The intricacies of transboundary exchange and cooperation indicate that the conservation of ~38% of the water volume would nearly double the low flows in the dry season and result in the retention of ~2B m3/y of water for agricultural developmental use. Results show that the peak flood flow routing in reservoirs on the Afghanistan side of the KRB would have a substantial positive impact on agricultural products and, therefore, food security. Water volume conservation has the potential to provide ~44% more arable land with water, allowing a ~51% increase in crop yield, provided that improved irrigation efficiency techniques are utilized.

Dithiocarbamate fungicides suppress aromatase activity in human and rat aromatase activity depending on structures: 3D-QSAR analysis and molecular simulation

ABSTRACT Dithiocarbamate fungicides have been widely used in agricultural practices due to their effective control of fungal diseases, thereby contributing to global food security and agricultural productivity. In this study, the inhibitory potency of eight compounds on human and rat aromatase (CYP19A1) activity was evaluated. The results revealed that zineb exhibited the highest inhibitory potency on human CYP19A1 (IC50, 2.79 μM). Maneb (IC50, 3.09 μM), thiram (IC50, 4.76 μM), and ferbam (IC50, 6.04 μM) also demonstrated potent inhibition on human CYP19A1. For the rat CYP19A1, disulfiram (IC50, 1.90 μM) displayed the strongest inhibition followed by maneb (2.16 μM), zineb (2.54 μM), and thiram (6.99 μM). These dithiocarbamates acted as mixed/non-competitive inhibitors of human and rat CYP19A1. Dithiothreitol (DTT), a reducing agent, partially rescued thiram-mediated inhibition when incubated at the same. Moreover, positive correlations were observed between log P, topological polar surface area, molecular weight, and heavy atoms and IC50 values. 3D-QSAR analysis revealed the hydrogen bond acceptor and donor play critical roles in the binding of dithiocarbamates to human CYP19A1. In silico analysis showed that dithiocarbamates bind to the haem binding site, containing Cys437 residues. In conclusion, some dithiocarbamates potently inhibit human and rat CYP19A1 via interacting with haem-binding Cys437 residues.

Optimizing the Sweet Potato Supply Chain in Zimbabwe Using Discrete Event Simulation: A Focus on Production, Distribution, and Market Dynamics

This study leverages a Discrete Event Simulation (DES) model to optimize the sweet potato supply chain in Zimbabwe, focusing on production, distribution, and market dynamics under varying climate conditions. The integration of climate data into the simulation model reveals significant insights into the resilience of different sweet potato varieties, particularly highlighting the suitability of yellow-skinned sweet potatoes for harsh climates due to their high resilience and drought resistance. However, market preferences still favor white-skinned varieties despite their vulnerability to climate extremes. The DES model identifies key bottlenecks, particularly in cultivation and transportation, that hinder supply chain efficiency. To address these challenges, the study emphasizes the importance of targeted interventions, such as improving access to irrigation, strengthening pest management, and adopting community-based resource-sharing approaches. These strategies are critical for enhancing both the resilience and efficiency of the supply chain. Additionally, the study highlights the urgent need for adaptive strategies to mitigate the effects of drought on agricultural productivity, especially in regions that heavily rely on crops like sweet potatoes. Overall, this research offers strategic insights for policymakers and stakeholders aiming to improve food security and agricultural productivity in Zimbabwe, as well as in other countries with similar climate challenges.

Impact of AI on Work Life Balance of Working Women in Hotel Industry

Artificial intelligence (AI) has brought about significant advancements as well as challenges for the hotel industry. AI enhances efficiency by automating routine tasks, allowing employees to focus on personalized services . Tools like chatbots ease workloads, benefiting women employees. However, AI also raises concerns about job security due to potential role replacement. According to a report by the Hotel Association of India, in 2020, the percentage of women employees in the Indian hospitality industry stood at around 35%. This study aims to explore the impact of AI on the work life balance of women employees in the hotel industry in Delhi, focusing on hotel employees and including positive and negative aspects of AI-driven advancements. To explore these impacts, a quantitative study method is used via Google Forms. The study uses both primary and secondary data. Primary data are collected through questionnaires and interviews of women employees in the hotel industry in Delhi, while secondary data are gathered from industry reports and academic literature. The findings aim to provide insight into how AI influences the work-life balance of women employees, throwing light on issues like job security and employee productivity of women in the hotel industry. This study can be helpful to the hotel industry in guiding the adoption of AI to improve women's work-life balance while addressing job security and productivity concerns. Key Words: Artificial Intelligence (AI), Hotel Industry, Work-Life Balance, Women, Job Security, Employee Productivity

Impacts of adaptation to climate change on farmers’ food security and level of sesame production in Western Ethiopia

The existence of multiple stresses and poor adaptive capacity make Africa most susceptible to climate change. In Ethiopia the potential adverse effects of climate change on the agricultural sector, the main stay of the country’s economy, are major concerns. To ensure food security, reducing the vulnerability of agricultural systems through different feasible adaptation strategies is one of the policy options in response to climate change impact This study is a first of its kind in examining the relative effectiveness of various adaptation strategies in ensuring farmers’ food security and enhancing level of sesame production in rural area of Western Ethiopia. In addition to data obtained from meteorological stations, cross-sectional data were collected interviewing 400 farm households. Descriptive statistics, two-stage least square (2SLS) and double-hurdle (D-H) models were used to analyze the data. The results of the study indicate that households are adapting using various strategies to the looming climate change in the area. The study also indicated that, though sesame production was negatively impacted by the climate hazards, smallholders have continued its production at minimum level due mainly to its high value crop character. 2SLS estimation results revealed that rainfall and temperature variability have negative impact on household’s food security. Moreover, the result indicates effectiveness of climate adaptation strategies namely agronomic practices, irrigation and soil and water conservation in reducing climatic risks and ensuring household food security. The result also implicitly indicated that farmers continued to adapt sesame production under risk climate and it is contributing to farmers’ food security. Further, the result revealed that climate change adaptation strategies have positively impacted the level of sesame production. Consequently, policy that augments households’ climate awareness and promotes adaptation decision and strategies could help reducing risks pertaining to climate and thereby improves farmers’ food security status and production of high value export potential crop—sesame.

A Review on Secure Outsourcing and Privacy-Preserving Traffic Monitoring in Fog-Enabled VANETs

New possibilities for fog-based vehicle monitoring have emerged with the expansion of fog computing, but present privacy concerns provide a significant barrier that limits the extent to which vehicles can participate. Because of its potential to improve road network security and vehicle productivity, the field of Vehicle-based Ad hoc Networks (VANETs) is gaining prominence. The security problems with VANETs, such as data confidentiality and message access control are still need better solutions to provide better Quality of Service (QoS). The effectiveness of VANET networks is diminished due to their instability problem. Vehicles continually add requests to the Road Side Unit (RSU) queue whenever they want specific information. For ever-evolving networks like VANETs, better routing is a continual process. Fundamental problems arise in large-scale systems when centralized procedures are used to assign jobs to the nodes along a route. The present centralized system for computing and safety has many needs, including the protection of data storage, user authentication, access control, system availability across multiple network connections, and the provision of a real-time data flow overview. Distributed problem solving and work sharing between multiple agents can improve the system's scalability. This paper provides a brief survey on the secured outsourcing and privacy preservation-based traffic monitoring model with routing and task scheduling models in Fog-enabled VANETS. This survey presents the limitations of the traditional models that help the researchers design new solutions for secure outsourcing in VANETs.

DNA-Based Chemical Unclonable Functions for Cryptographic Anticounterfeit Tagging of Pharmaceuticals.

Counterfeit products are a problem known across many industries. Chemical products such as pharmaceuticals belong to the most targeted markets, with harmful consequences for consumer health and safety. However, many of the currently used anticounterfeit measures are associated with the packaging, with the readout method and level of security varying between different solutions. Identifiers that can be directly and safely mixed into the product to securely authenticate a batch would be desirable. For this purpose, we propose the use of chemical unclonable functions based on pools of short random DNA oligos, which allow the integration of a cryptographic authentication system into chemical products. We demonstrate and characterize a simplified workflow for readout, showing that results are robust and clearly differentiate between the correct tag and a counterfeit. As a proof of concept, we demonstrate the labeling of an acetaminophen formulation with a chemical unclonable function. The acetaminophen was successfully authenticated from a subsample of the product at a DNA admixing concentration of below 50 ng/g. Stability tests revealed that the readout is stable at room temperature for several years, exceeding the shelf life of most drug products. Our work thus shows that chemical unclonable functions are a valid alternative to state-of-the-art anticounterfeit methods, enabling a secure authentication scheme that is physically linked to the product and safe for consumption. The method is widely applicable beyond pharmaceuticals, allowing for more secure product tracing across industries.

Review and Analysis of Mathematical Approaches for Adaptive Authentication using Machine Learning

In today’s technological era, the combined problem of assuring user productivity and maintaining strong security standards has become quite a key challenge. As security considerations, have not to hurt productivity, significant efforts must be taken to achieve such goals. The notion of adaptive authentication comes into play to avoid friction in user experience so that a balance between security and user productivity can be maintained. Traditional authentication frameworks are becoming more obsolete due to their ineffectiveness in incorporating additional risk criteria such as location, network type, and operating system into the authentication management process. Adaptive authentication is a combination of authentication and machine learning (ML) technologies that can help in realizing secure intelligent systems. The goal of this research is to provide a complete review of the current applications of various machine learning algorithms often employed in adaptive authentication techniques. Throughout this study, the advantages, limits, and suggestions for future research will be thoroughly discussed.

Plant Beneficial Desert Actinomycete, Modestobacter caceresii KNN 45-2bT, Promote Growth of Tomato (Lycopersicum esculentum Mill.) under Drought Condition

Drought stress is currently the most serious challenge to global food security and agricultural productivity. Desert actinobacteria have gained attention as potential candidates for enhancing plant growth in water stress environments. In this regard, a desert actinomycete, namely Modestobacter caceresii strain KNN 45-2bT, was selected to investigate its plant growth promoting abilities and drought tolerance. Next, this desert strain was inoculated to tomato (Lycopersicum esculentum Mill.) under drought, and the results included increases in root length, shoot and root fresh weight, shoot and root dry weight, total fresh weight and dry weight, fruit weight, proline accumulation, total soluble sugar content and trolox content. Stress treatments on the bacterized tomato plants also resulted in the reduction of hydrogen peroxide accumulation. Putative proteins coding sequences conferring plant growth promoting (PGP) traits (IAA production, phosphate solubilization, siderophore production, nitrogen fixation) and drought response (biosynthesis of proline metabolism, oxidative and osmotic stress response) were also detected from their genomic analyses. In conclusion, these results provide credence to the idea that the inoculation of tomato plants with plant beneficial desert actinomycete is an effective method of combating the negative effects of drought stress.

Foliar application of rice husk derived nanosilica for mitigating drought stress in hybrid maize by boosting antioxidant defense system

The increasing frequency and intensity of drought magnified by the climate change, pose significant challenge to global food security and agricultural productivity. Chemically synthesized nanosilica have emerged as a promising solution for managing drought stress, enhancing crop growth and stress resilience but, its production involves harmful chemicals which results in adverse impacts on soil, plant and environment. Hence, the present study aimed to green synthesize and characterize silicon nanoparticles from rice husk and to evaluate their potential for improving plant growth, development and stress mitigation in hybrid maize. The rice husk derived nanosilica has spherical morphology, amorphous nature, siloxane bonds and high purity (99 %). Five different levels of nanosilica (0.05, 0.10, 0.15, 0.20 and 0.25 %) were sprayed on hybrid maize grown under irrigated and drought conditions and the results revealed that, nanosilica spray has improved the stress tolerance, growth and photosynthetic parameters. An optimum response was noted with the nanosilica spray upto 0.10 % in irrigated plants and 0.15 % in drought stressed plants, where greater increase in plant height (27.7 and 28.9 %), total biomass (55.7 and 39.1 %), chlorophyll a (36.7 and 54.5 %), relative water content (12.5 and 24.9 %) and superoxide dismutase (23.0 and 35.7 %) activity was observed. This was ascribed to the alleviation of membrane damage by reduced melondialdehyde content (18.9 and 21.4 %) and electrolyte leakage (21.9 and 26.7 %) under irrigated and drought regimes. However, higher doses of nanosilica caused slight reduction in plant growth and antioxidant activity. We conclude that, foliar spraying of nanosilica synthesized from rice husk at a concentration of 0.10 % for irrigated and 0.15 % for hybrid maize exposed to drought stress has shown a positive effect on plant growth and stress mitigation. Nanosilica synthesised from rice husk is economical, environmentally feasible and efficiently boosts plant growth and stress tolerance. Further, to confirm the role of rice husk derived nanosilica in plant stress tolerance, the comprehensive molecular mechanisms underpinning the stress mitigation has to be studied in detail.

SOCIO-ECONOMIC REQUIREMENTS AND PRINCIPLES OF ENSURING FOOD SECURITY IN UKRAINE

Ensuring the country's food security is a complex and responsible task, the solution of which is determined by a combination of many factors and factors. Socio-economic factors that determine the level of physical and economic availability of food for the country's population are decisive among these factors. The article examines the main socio-economic factors that influence the sufficiency and availability of food for the population of Ukraine. Among the most important of them, the value of the minimum food basket of Ukrainians, food prices, incomes and expenses of the population, and price trends in the food market were analyzed. A quantitative assessment of rates of the ratio of the cost of a food set and the average wage in Ukraine, which determines the economic availability of food for the population, was carried out. The structure of household expenses is analyzed. The obtained research results showed threatening trends in the growth of the share of population expenditure on food in the structure of spending to the maximum critical value. The price trends for food products and their changes in recent years have been studied. The income level of the population of Ukraine, the actual wages, and their combined effect on the availability and state of food supply are analyzed. An analytical assessment of the current state and dynamics of the level of food self-sufficiency of the population of Ukraine by its main types was carried out. Specific threatening trends have been identified regarding the sufficiency of domestic production of certain food products for food security (fruits, berries, and grapes are characterized. A set of fundamental principles are substantiated, which, according to the authors, become a priority in ensuring the strategic food security of Ukraine based on sustainable development. Priority among them are highlighted: priorities of food quality, safety, and environmental friendliness, formation of sustainable food security networks based on the creation of inclusive agro-food markets, increasing the level of social responsibility of food producers and food consumers, strategic priorities of environmental friendliness, conservation of natural and biological resources and minimization of climate change. Certain aspects of the quality and safety of agricultural production and food products were investigated in the context of the prohibited principles. The organizational principles of food quality and safety monitoring processes in the Ukrainian agro-food sector have been studied.

Evaluation of the Perception and Adoption of Environmental Management System in Small and Medium Enterprises in the Manufacturing Sector in Lagos and Ogun States, Southwestern Nigeria

The objective of this paper was to evaluate the perception and adoption of environmental management system in small and medium enterprises in the manufacturing sector in Lagos and Ogun States, Southwestern Nigeria using appropriate standard techniques. The paper posits that environmental management literacy and advocacy should be carried out in SMEs. Environmental management practices involve engaging both industries and product end-users in sustainable practices. The paper concludes that the implementation of environmental management practices and culture by SMEs will abate environmental pollution and its concomitant health risks to humans, the environment, flora, and fauna. Mandatory and voluntary environmental measures 3 are suggested as a means of engendering eco-friendly innovation for sustainable development, triggering employment, job security, and gross domestic product.

Physiological, metabolome, and transcriptome analysis revealed the effect of ethyl 3-amino-3-thioxopropanoate on the browning of fresh-cut banana during storage

The quality of fresh-cut bananas is often affected by surface browning, which does not meet consumer expectations. The ethyl 3-amino-3-thioxopropanoate (EAT) is an ethyl ester organic compound screened from Maillard reaction products that may have browning inhibition effects. However, there is still a lack of research on the practical application of EAT. This study investigated the impact of exogenous EAT on the browning process and the underlying mechanisms in fresh-cut banana through a comprehensive analysis involving physiological, metabolomic, and transcriptomic approaches. Treatment with EAT effectively mitigated the discoloration of the cut surface of slices and decreased the browning index by 74 % at the end of storage. Additionally, EAT application significantly reduced polyphenol oxidase activity, increased phenylalanine ammonia-lyase activity and total phenolic content, inhibited lipoxygenase activity, decreased malondialdehyde accumulation, enhanced antioxidant enzyme activity, and improved DPPH free radical scavenging rate to 68.49 %. Moreover, 839 metabolites were identified through non-targeted metabolomics analysis. Metabolomic and transcriptomic analysis further highlighted the importance of lipid metabolism, amino acid metabolism and secondary metabolites in influencing the sensitivity to post-cutting browning. EAT treatment also influenced the expression levels of key genes related to browning. Thus, it could be speculated that the mechanism by which EAT produces its anti-browning effect may be by reducing phenolase activity, improving levels of phenols and amino acids, enhancing the antioxidant capacity of the fruit, and alleviating membrane lipid peroxidation. In summary, this study provides valuable insights into the response mechanism employed by exogenous EAT to inhibit browning in freshly cut bananas. However, the application security and mass production methods of EAT still need further clarification.

The drought-induced plasticity of mineral nutrients contributes to drought tolerance discrimination in durum wheat

Drought is a major challenge for the cultivation of durum wheat, a crucial crop for global food security. Plants respond to drought by adjusting their mineral nutrient profiles to cope with water scarcity, showing the importance of nutrient plasticity for plant acclimation and adaptation to diverse environments. Therefore, it is essential to understand the genetic basis of mineral nutrient profile plasticity in durum wheat under drought stress to select drought-tolerant varieties. The research study investigated the responses of different durum wheat genotypes to severe drought stress at the seedling stage. The study employed an ionomic, molecular, biochemical and physiological approach to shed light on distinct behaviors among different genotypes. The drought tolerance of SVEMS16, SVEVO, and BULEL was related to their capacity of maintaining or increasing nutrient's accumulation, while the limited nutrient acquisition capability of CRESO and S.CAP likely resulted in their susceptibility to drought. The study highlighted the importance of macronutrients such as SO42−, NO3−, PO43−, and K+ in stress resilience and identified variant-containing genes potentially influencing nutritional variations under drought. These findings provide valuable insights for further field studies to assess the drought tolerance of durum wheat genotypes across various growth stages, ultimately ensuring food security and sustainable production in the face of changing environmental conditions.

A Scientific Review of Pesticides: Classification, Toxicity, Health Effects, Sustainability, and Environmental Impact.

Over the years, the useof pesticides has risen significantly, primarily to combat undesirable organisms that threaten crucial crops. A variety of pesticides are available, each designed to protect crops from specific threats like fungi, bacteria, and other pests. Other than crop protection, pesticides are also used in controlling insect vector-borne diseases like malaria and Lyme disease in humans.However, the application of these pesticides must be carefully measured and managed to prevent adverse effects on humans, non-target animals, and the environment. This reviewdelves into the detailed classification of pesticides, exploring their mechanisms of action, applications, benefits, and potential side effects. Understanding the different categories of pesticides, such as herbicides, insecticides, fungicides, rodenticides, and biopesticides, helps us comprehend how each function to control pests. Additionally, we discuss the advantages of pesticide use, including increased crop yields and the prevention of crop diseases, which contribute to food security and agricultural productivity. This review also addresses the significant concerns related to pesticide usage, such as the development of pest resistance, health risks to humans through exposure and residues in food, as well as the impact on biodiversity and ecosystems. The review emphasizes the importance of using pesticides responsibly and implementing integrated pest management strategies to mitigate this risk of exposure. By providing a comprehensive overview of pesticide classification, mechanisms of action, and implications, this review aims to inform and guide us to the safe and effective use of pesticides for daily agricultural practices.

Intergeneric chromosome-specific painting reveals differential chromosomal transmission from Tripidium arundinaceum in sugarcane progeny

Sugarcane has recently attracted increasing attention for its potential as a source of sugar and bioethanol, so increasing its yield is essential to ensure the sugar security and bioenergy production. Intergeneric hybridization is a highly efficient method to produce new genetic variants of crop plants, particularly those species with high ploidy such as sugarcane (Saccharum spp.). Tripidium arundinaceum exhibits many desirable agronomic traits, and has been widely studied to produce hybrids with improved stress tolerance and other characteristics in sugarcane breeding. However, the genetic relationship between T. arundinaceum and Saccharum species, and the individual T. arundinaceum chromosomal compositions in sugarcane hybrids are still elusive. Here we used whole-genome single-nucleotide polymorphisms (SNPs) to ascertain the phylogenetic relationships between these species and found that T. arundinaceum is more closely related to Saccharum than Sorghum, in contrast to the previous narrow genetic analyses using chloroplast DNA. Additionally, oligonucleotide (oligo)-based chromosome-specific painting derived from Saccharum officinarum was able to distinctly identify the chromosomes of T. arundinaceum. We developed the oligo-genomic in situ hybridization (GISH) system for the first time, to unveil the novel chromosome translocations and the transmission of individual T. arundinaceum chromosomes in sugarcane progeny. Notably, we discovered that the chromosomal transmission of T. arundinaceum exhibited several different inheritance modes, including n, 2n, and over 2n in the BC1 progenies. Such inheritance patterns may have resulted from first division restitution (FDR) or FDR+nondisjunction of a chromosome with the sister chromatids in the second meiosis division/second division restitution (FDR+NSC/SDR) model during meiosis. These results will be of substantial benefit for the further selection of T. arundinaceum chromosomes for sugarcane genetic improvement.

‘Firm but fair’? Migrant children’s rights through dramaturgy and nation branding in Norway and the UK

Applying nation branding literature and the work of Erving Goffman on dramaturgy to the situation of asylum-seeking children in Norway and in the UK, this paper develops a comparative framework for understanding why child rights appear to be de-prioritised in the current climate of ‘migration control’. The paper identifies historically grounded differential approaches towards child rights and children in the two countries, which currently appear to merge into a common trajectory of migration control, framed in terms of national security and economic productivity. It explores similar tensions in both countries between the discourses of national migration management on the one hand and children's welfare and rights on the other. It finds that universal rights which should protect the welfare of all children are limited and fragmented by ideas of nationalism and foreignness. Despite a more robust legal framework for child rights, Norway is on a similar pathway as the UK; a worrying indictment of how nations fulfil their obligations towards children.

Automation of parenteral nutrition: impact on process and cost analysis

ObjectivesOn the basis of its safety and accuracy, automation is recommended for parenteral nutrition (PN). The aim of this study was to highlight the changes in practices related to the...

Solar empowerment in agriculture: investigating photovoltaic energy’s impact on efficiency among wheat farmers

Persistent electricity shortages in Pakistan, causing prolonged grid power load shedding, have adversely impacted various sectors, notably agriculture and the livelihoods of rural farmers. Literature suggests that adopting photovoltaic solar energy can mitigate these issues. This research aims to measure the impact of photovoltaic solar energy on the technical efficiency of food productivity in Khyber Pakhtunkhwa, Pakistan, applying data from 580 respondents. Addressing self-selective bias through ESR and stochastic frontier production function model is utilized to assess technical efficiency. The findings of this study reveal that farmers using solar energy experience a significant improvement in technical efficiency, with 15.8 percent of them achieving a 7.643 percent increase, after accounting for self-selection bias. Furthermore, the positive effects are more pronounced among larger farms and those with greater farming experience. This study underscores the importance of evidence-based approaches in implementing solar energy solutions, highlighting their potential to foster sustainability and equitable development at the grassroots level. The research culminates with policy recommendations that underscore the importance of promoting the photovoltaic solar energy use among farmers to improve food security and increase agricultural productivity.