Climate change is often linked with record-breaking heavy or poor rainfall events, unprecedented storms, extreme day and night time temperatures, etc. It may have a marked impact on climate-sensitive sectors and associated livelihoods. Block-level weather forecasting is a new-fangled dimension of agrometeorological services (AAS) in the country and is getting popularized as a climate-smart farming strategy. Studies on the economic impact of these microlevel advisories are uncommon. Agromet advisory services (AAS) play a critical role as an early warning service and preparedness among the maize farmers in the Parambikulam–Aliyar Basin, as this area still needs to widen and deepen its AWS network to reach the village level. In this article, the responses of the maize farmers of Parambikulam–Aliyar Basin on AAS were analyzed. AAS were provided to early and late Rabi farmers during the year 2020–2022. An automatic weather station was installed at the farmers’ field to understand the real-time weather. Forecast data from the India Meteorological Department (IMD) were used to provide agromet advisory services. Therefore, the present study deserves special focus. Social media and other ICT tools were used for AAS dissemination purposes. A crop simulation model (CSM), DSSAT4.7cereal maize, was used for assessing maize yield in the present scenario and under the elevated GHGs scenario under climate change. Our findings suggest that the AAS significantly supported the farmers in sustaining production. The AAS were helpful for the farmers during the dry spells in the late samba (2021–2022) to provide critical irrigation and during heavy rainfall events at the events of harvest during early and late Rabi (2021–22). Published research articles on the verification of weather forecasts from South India are scanty. This article also tries to understand the reliability of forecasts. Findings from the verification suggest that rainfall represented a fairly good forecast for the season, though erratic, with an accuracy score or HI score of 0.77 and an HK score of 0.60, and the probability of detection (PoD) of hits was found to be 0.91. Verification shows that the forecasted relative humidity observed showed a fairly good correlation, with an R² value of 0.52. These findings suggest that enhancing model forecast accuracy can enhance the reliability and utility of AAS as a climate-smart adaptation option. This study recommends that AAS can act as a valuable input to alleviate the impacts of hydrometeorological disasters on maize crop production in the basin. There is a huge demand for quality weather forecasts with respect to accuracy, resolution, and lead time, which is increasing across the country. Externally funded research studies such as ours are an added advantage to bridge the gap in AAS dissemination to a great extent.

Understanding the pattern of regional climatic extremes is essential for creating an important adaptation measure to safeguard farmers from monsoon tantrums. This paper focuses on the rainfall variability and intensity for spatially different locations of Tamil Nadu. The daily rainfall data over a period of 30 years (1990-2019) for the study locations were collected from the constituent research centres of TNAU. The results indicated that an increasing trend in SWM rainfall was observed in Coimbatore (209.3 to 300.6mm), Ooty (681.4 to 703.1mm), Aduthurai (227.8 to 320.6mm), Kovilpatti (132.8 to 141.3 mm) while the decreasing trend was observed in rest of the places. A decreasing trend was reported in general for all the places during NEM. The decreasing trend in the number of rainy days was registered in Kovilpatti, Virudhunagar and Killikulam that exhibits an alert in modifying the crop planning programme in those areas. The frequency of rainfall intensity revealed that except Ooty, the number of Heavy Rain (HR) to VHR(VHR) was found to be meagre to absent in most of the study locations.

Climate-Smart Agricultural (CSA) technologies are essential in enhancing agricultural sustainability and resilience in the face of climate change. However, the successful adoption of these technologies remains a complex challenge influenced by various factors. This research aims to provide a systematic review of the factors affecting the adoption of CSA technologies and thoroughly examine academic research in this rapidly developing study area. Scientific mapping was conducted, analytical techniques were used to understand the annual scientific production countries with the highest citations and co-occurrence network analysis was also done using the key search terms of CSA adoption research. The literature on determinants of CSA adoption is synthesized in terms of theories, contexts, characteristics and methods (TCCM) framework to propose future research directions.Additionally, the study develops a conceptual framework incorporating the commonly mentioned antecedents, mediators, moderators and consequences in existing literature. Drawing upon an extensive review of peer-reviewed articles, this study categorizes factors into 3 main dimensions: Socio-Demographic and Socioeconomic factors, Farm and Land factors and Technological and Informational factors. This review of the research also reveals the impact of positive and negative aspects onCSA's adoption. In addition, this review summarizes the theoretical perspectives taken in this field of study. Furthermore, to develop this research domain, some interesting future research directions have been recommended by identifying understudied research areas.

Protected cultivation techniques have the potential to significantly enhance agricultural productivity and economic security, particularly for vegetable and flower growers in India. These techniques optimize environmental conditions, improving the quality and quantity of yields. However, their adoption is hindered by high initial setup costs, technical complexities and limited awareness and training. Personal factors such as age, education level, farming experience, household size and social and economic factors like access to extension services, cosmopolitanism, credit availability and landholding size play a key role in adoption rates. The area under protected cultivation in India has expanded to approximately 70,000 hectares, highlighting the significant potential for growth. Despite this expansion, adoption rates remain moderate, with many farmers failing to implement essential practices, such as soil solarization and climate control systems, particularly in regions like Tamil Nadu. Practical solutions such as comprehensive training programs, regionspecific adaptable polyhouse designs and strengthened extension services are crucial to overcoming these barriers. In states like Rajasthan and Gujarat, where harsh climatic conditions prevail, customized polyhouse designs tailored to local environments have successfully improved productivity. Furthermore, financial support mechanisms, including increased subsidies and accessible credit, are necessary to encourage broader adoption. There is also a need for region-specific research to develop polyhouse designs that cater to the diverse climatic conditions across India. This study aims to enhance the understanding of agricultural innovation adoption and provide actionable insights into improving the adoption of protected cultivation technologies.

Assessing the influence of sowing dates and crop geometry on Fall Armyworm infestation in maize (Zea mays L.) Journals are one of the best online open access journal site in the field of publishing research articles in Agricultural, animal, dairy, food, home, legume Research Journals on a Global platform.