Impact of climate change on agriculture

S. S. Chinchorkar · International Journal of Statistics and Applied Mathematics · 2025

Agriculture is challenged by climate change and can only be mitigated through in advanced forecasting and strategy. This research investigates AI enables decision support systems for agrometeorological forecasting and climate change mitigation. Four machine learning algorithms were then implemented to predict temperature, precipitation, and drought susceptibility: Random Forest, Long Short-Term Memory (LSTM), Support Vector Machines (SVM), Convolutional Neural Networks (CNN). With high predictive accuracy achieved, the models were trained using historical climate and agricultural data. The res

Anjali Negi, Jasbir Kaur, Shikha Sharma, Kanwaljit Kaur · International Journal of Agriculture Extension and Social Development · 2024

Climate change is a serious threat to our planet. Rising temperatures, erratic rainfall and extreme weather conditions have created havoc for many nations. The rate of global warming is higher than it has ever been. Variations in temperature are altering weather patterns and upsetting the natural balance of the ecosystem. Such climatic changes have adverse effect on the food security as well. Thus the current study explores the effects of climate change on food security. The results are based on the perspectives of different researchers. The effects were studied under food availability, food a

KR Chaudhary, YA Desai, GD Desai, SJ Jadav · South Asian Journal of Agricultural Sciences · 2026

Mitali Mehta, Mohd. Hussnain, Ankush Moran, Suraj R. Hosur · International Journal of Research in Agronomy · 2026

This study provides a comprehensive review of the concept, causes, effects, and solutions to the carbon footprint, with a focus on its significance in the global climate change narrative. Originating from the concept of the ecological footprint, the carbon footprint quantifies the total greenhouse gas emissions, primarily CO2, attributed to human activities. The study highlights that major contributors to global emissions include energy production, agriculture, industry, and transportation, with the United States, China, the European Union, and India being the top emitters. The escalating carb

Vicky Yadav, Kuchhadiya Deep S, Ashish Kumar, NK Meena, Chiranjit Mazumder, Arun Kumar · International Journal of Research in Agronomy · 2026

Climate change is emerging as one of the most pressing challenges of the 21st century, with significant implications for horticultural systems worldwide. Fruits, vegetables, ornamentals, spices, and plantation crops are particularly vulnerable to shifting climatic patterns, which can lead to altered phenology, reduced productivity, compromised quality, and heightened susceptibility to pests and diseases. Temperature extremes, erratic rainfall, elevated CO₂ levels, and increased frequency of extreme weather events disrupt normal growth cycles and physiological processes, threatening both yield

Surekha Nistala, L Subha, Chanchal Bhargav, Nitish Kumar, Subhajit Pal, Pradeep Yadav · International Journal of Research in Agronomy · 2026

The integration of artificial intelligence (AI) and machine learning (ML) into agronomy is revolutionizing modern agriculture by enabling data-driven decision-making and automation. This in-depth study looks at how modern AI and machine learning technologies are used in farming. It covers everything from old expert systems to new deep learning models, drones and self-driving cars. We discuss about how AI has transformed farming throughout the years, including major studies and renowned people who have helped it expand. We also discuss about the primary technologies and data sources that have m

Khushal Balram Muradi, V Siva Teja, Harshavardhan Mohan Totawar, Laxmi PS, Choudhari Balaji Keshavrao, Yogesh V Wayal · International Journal of Advanced Biochemistry Research · 2026

Rapid urbanization, climate variability, and declining arable land are placing increasing pressure on conventional horticulture, prompting the development of resource-efficient production systems. Through optimized space, water, and fertilizer utilization in controlled conditions, vertical agriculture has evolved as a game-changing strategy that permits high-density, year-round crop production. Recent developments in vertical farming, such as system architecture, soilless growing methods (hydroponics, aeroponics, and aquaponics), environmental control, artificial lighting, automation, and data

G Savitha, R Moulidharshan, R Nandha Kumar, S Susikaran, M Akash · International Journal of Agriculture and Food Science · 2026

Climate change has become a significant challenge to agricultural sustainability, especially in climate-sensitive industries like sericulture, where environmental stability is crucial for both silkworm (Bombyx mori L.) rearing and mulberry cultivation. Mulberry growth, silkworm physiology, disease incidence, cocoon productivity, and silk quality are all greatly impacted by variations in temperature, humidity, rainfall patterns, photoperiod and air quality. The current understanding of how climatic variability affects various parts of the sericulture value chain is summarised in this article. I

Pradeep Krishnamurthy, Sreehari V Santhosh, Neethu RS · International Journal of Advanced Biochemistry Research · 2026

Climate change and its associated anomalies, such as heat and water stress, pose significant risks to seed quality and agricultural productivity. Seed germination and dormancy are critical biological transitions regulated by a complex interplay of genetic, hormonal, and environmental factors to ensure survival in fluctuating environments. This paper explores how the hormonal balance between abscisic acid (ABA) and gibberellic acid (GA) influences the chromatin remodeling and histone modifications, thereby harnessing the key dormancy-related genes like DOG1. Moreover, the sensitivity of seed ge

Mahesh Huchhe, Narsingrao Bandela · International Journal of Research in Agronomy · 2026

Drought is regarded as a natural disaster in the semi-arid Marathwada region, arising from high temperatures and inadequate, irregular rainfall. The economy, society, environment, and people's means of subsistence are all directly impacted by these circumstances. The launch of the cloud-based geospatial analysis platform GEE has simplified the process of obtaining high-performance computing resources for the online processing of multi-temporal MODIS satellite data. An analysis of drought conditions, including their severity, can be done on this platform, along with their spatial and temporal d

SK Moinuddin, Arafat Mondal, Argha Mandal, Hasim Kamal Mallick, Nilotpal Das · International Journal of Research in Agronomy · 2026

Barley is one of the most important cereals grown globally for food, feed, and industrial uses. Weed control and overuse of chemical fertilizers, however, have limited its productivity, impacting soil health, environmental quality, and the sustainability of the agricultural system. The practice of Integrated Weed and Biofertilizer Management has become a green and sustainable solution to boost the productivity of barley while reducing environmental hazards. This review emphasises the importance of implementing integrated weed management strategies, such as cultural, mechanical, biological, and

Maria Elena Vargas, Carlos Quispe Mamani, Roberto Torrez · South Asian Journal of Agricultural Sciences · 2026

Biochar the solid carbonaceous product of biomass pyrolysis has attracted global research interest as a soil amendment with the potential to simultaneously improve soil physical and chemical properties, increase crop productivity, and sequester carbon for centuries. In Bolivia's Santa Cruz department, the combination of rapidly expanding soybean-maize cropping systems and the prevalence of highly weathered Oxisol-type soils with low pH,

Olivia Oluchi Ebepu · International Journal of Financial Management and Economics · 2026

This paper proposes a technical framework for estimating the economic benefits of a shift from descriptive to predictive Labor Market Intelligence (LMI). Existing workforce data systems, characterized by slow lag times and occupational classifications, are increasingly inadequate for understanding the fast-moving disruptions occurring as a result of Generative Artificial Intelligence (GenAI) and changes in the global economy. A multi-layered framework

G. Anand, P. Kalaiselvi, S. Paul Sebastian, M Senthil Kumar, G. Amuthaselvi, G Porkodi · International Journal of Research in Agronomy · 2025

The impact of climate change is reshaping agricultural practices worldwide, disproportionately affecting vulnerable communities, particularly women farmers in developing countries. Women, who constitute a substantial portion of the agricultural workforce, often face barriers such as limited access to resources, education, land ownership and decision-making power. However, technological innovations have the potential to empower women farmers, improving their resilience to climate change, enhancing productivity and promoting sustainability. This review paper explores the role of technology in ad

Ritu Pradhan, Anupreet Kaur Sobti · International Journal of Home Science · 2025

Introduction and Aim: Millet farming, vital for sustainable agriculture and nutrition security, is particularly susceptible to the adverse impacts of climate change. In many agricultural communities, women play a crucial role in millet cultivation and household food provisioning, yet they often face unique vulnerabilities and challenges exacerbated by climate variability. This review aims to explore the intricate relationship between climate

PD Waghmare, D. V. Dahat, VL Amolic, GC Shinde, MR Patil, SD Shinde · International Journal of Advanced Biochemistry Research · 2025

Analysis of variance showed that mean squares were highly significant for traits such as number of kernel rows per ear, number of kernels per row, number of kernels per ear, 100 kernel weight (g), kernel weight per ear (g), kernel yield per plant (g). etc. High heritability coupled with high genetic advance was recorded for the traits plant height and ear height that depicts the existence of additive gene effects. The analysis of variance for combining ability revealed that mean squares were significant for almost all the characters. Variance due to sca was greater than gca variance for the tr

Gnyana Ranjan Bal, Aruna Sharma, S. C. Sharma · Asian Journal of Management and Commerce · 2025

Climate change is increasingly understood as a global challenge, and agriculture is one of the sectors most vulnerable to its impacts. Changes in temperature, degree of moisture and greenhouse gas emissions can affect soil fertility, moisture availability and yield. Many studies have referred to the urgency of addressing climate, as agriculture concerns issues of food security and farmers' livelihoods. Taking

Priya Pradhan · International Journal of Political Science and Governance · 2025

Climate change poses a growing threat to livelihood security in rural India, where livelihoods are predominantly dependent on climate-sensitive sectors, including agriculture, livestock, and natural resources. Rising temperatures, erratic rainfall patterns, and the increasing frequency of extreme weather events have intensified economic uncertainty and social vulnerability among rural households. This study aims to examine the impacts of climate change on

Rishabh Sahu, AK Tripathi, Namita Shukla, CK Paikra · International Journal of Advanced Biochemistry Research · 2024

The dairy sector stands as a noteworthy contributor to global greenhouse gas emissions. However, the intricacies of comprehending the carbon footprint within dairy product supply chains render the task complex and multifaceted. This review of research delves into the most recent findings derived from both national and international studies. It meticulously examines the role played by crucial stakeholders in the endeavour to mitigate carbon emissions across the entirety of the dairy supply chain. Through the narrative lens of ten principal characters, each embodying diverse perspectives and spe

PD Waghmare, D. V. Dahat, VL Amolic, GC Shinde, SR Dhonde, MR Patil · International Journal of Advanced Biochemistry Research · 2024

In this study, a set of eight parents, fifty-six F1s (direct and reciprocals), and two standard checks were evaluated during the rabi season of 2019 with two replications in a randomized block design at the research farm of All India Coordinated Research Project on maize, Rahuri center, Mahatma Phule Krishi Vidyapeeth, Rahuri, Dist. Ahmednagar. The cross combination DS-NP/R-8-42 x 52099 exhibited high per se performance and highly significant standard heterosis for almost all the studied characters. Similarly, the combinations 52099 x IC-331144, DS-NP/R-8-42 x IC-331144, and 52099 x DML-1112 s