Numerical Methodologies for the Analysis of Horizontal-Axis Floating Offshore Wind Turbines (F-HAWTs): A State-of-the-Art Review by Naghmeh Akbari Zadeh, Peter Ryan, David M. Kennedy, Fergal O’Rourke

“…This paper serves as a reliable methodological guideline for researchers and wind industry professionals engaged in the design/analysis of wind farm projects.…”
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Framing behaviour change for sustainable agriculture: Themes, approaches, and future directions by Kingsley Ofosu-Ampong, Wuletawu Abera, Anna Müller, Samuel Adjei-Nsiah, Richard Boateng, Bryan Acheampong

“…The study provides practical implications for government agencies, agricultural extension services, research institutions and non-governmental organisations (NGOs) to identify specific behaviours that contribute to food insecurity and unsustainable agriculture practices. …”
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Farmer perceptions toward the adoption of agroforestry practices: a case study of northwestern Ethiopia by Mulunesh Yayehrad Gashu, Demamu Mesfin, Tadsual Asfaw Dessie

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The effect of sustainable agricultural practices on crop productivity in Ethiopia: insights from a meta-analysis by Tadesse Tolera Ejeta, Tadesse Tolera Ejeta, Xiuguang Bai

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Socio-economic benefits and challenges confronting oil palm production among indigenous rural farmers in Karonga district, Malawi by Noel Mweta, Alex Somuah Obeng, John Windie Ansah

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Bycatch of common pollinators in pheromone baited traps for monitoring corn earworm (Lepidoptera: Noctuidae) in Missouri Industrial Hemp by Clement Akotsen-Mensah, Isaac N. Ativor, Caroline N. Foba, Valliyodan Babu

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Anthelmintic Resistance in Sheep Across Ireland and the UK: a literature review of the in vivo versus in vitro methods by Megan Tumulty

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L’agriculture de conservation à la croisée des chemins en Afrique et à Madagascar by Georges Serpantié

“…We recommend the pursuance of the effort of improvement by analyzing the context of the farming systems and basing the research on the practices, the local knowledge and the innovation capacity of farmers and communities, and to follow other tracks in parallel.…”
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Enhancing resilience to climate change: a comprehensive PRISMA review of agricultural and non-agricultural adaptation strategies for Ghana by Silas Uwumborge Takal, Abdul-Wahab Tahiru, IM Rizwanul Fattah, Samuel Jerry Cobbina, Wilhemina Asare, Samuel Kojo Abanyie

“…Farming in Ghana is highly vulnerable to climate change due to factors such as limited financial resources, inadequate land availability, lack of access to technology, and insufficient public infrastructure, including roads, weather forecasting systems, and extension services. …”
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Rethinking the roles of pastoralists’ indigenous religious practices in Nuer nation Zone, Gambella Region, South-West Ethiopia by Chayot Gatdet

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Investigating the feasibility of developing a collective action for biological control of fall armyworm among smallholder farmers in rural communities of Zambia by Léna Durocher-Granger, Sara Fiorito, Sibajene Kambanja Mudenda, Milimo Mildred Chiboola, Monica K. Kansiime, David Ludwig, Cees Leeuwis

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Sustainability and livestock: a doable combination by Antonella Chiariotti

“…Depending on resource quality, environmental factors, and social and economic contexts, various types of livestock production systems may vary considerably in sustainability. These livestock systems include extensive grassland, intensive landless, mixed, and family farming systems. …”
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Monitoring Yield and Quality of Forages and Grassland in the View of Precision Agriculture Applications—A Review by Abid Ali, Hans-Peter Kaul

“…To achieve this, the authors discuss several monitoring technologies for biomass and plant stand characteristics (including quality) that make it possible to adopt digital farming in forages and grassland management. The review provides an overview about mass flow and impact sensors, moisture sensors, remote sensing-based approaches, near-infrared (NIR) spectroscopy, and mapping field heterogeneity and promotes decision support systems (DSSs) in this field. …”
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Improvement of crop production in controlled environment agriculture through breeding by Krishna Bhattarai, Andrew B. Ogden, Sudeep Pandey, Germán V. Sandoya, Ainong Shi, Amol N. Nankar, Murukarthick Jayakodi, Heqiang Huo, Tao Jiang, Pasquale Tripodi, Chris Dardick

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A New Path to Aggregate Area Expansion by Agricultural Mechanization: The Seedling Field Saving Effect of Machinery Rice Transplanting and the Case of China by Dongyan Ruan, Jinqi Tang, Juan Wang, Jing Zhou, Xiaoyong Zeng, Hanjie Liu

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Climate-smart agricultural technology and gender-differentiated food, and water security: Evidence from smallholder sunflower (Helianthus annuus L.) Farmers by Abiodun Olusola Omotayo, Abeeb Babatunde Omotoso

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Assessment of the Knowledge, Attitude, and Perception (KAP) of Sheep Farmers Regarding Ticks and Tick-Borne Pathogens in Tunisia, North Africa by Médiha Khamassi Khbou, Syrine Rekik, Rihab Romdhane, Limam Sassi, Felicitas Bergmann, Martin H. Groschup, Mourad Rekik, Mohamed Gharbi

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BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in BangladeshMendeley Data by Md Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, Masud Ahmed, Md. Jahid Hassan Saykot, Shanjida Sultan Shanta, Sonali Akter, Ankan Chandra Das, Mohammad Manzurul Islam, Mahamudul Hasan, Md Sawkat Ali

“…Additionally, researchers aiming to contribute to developing Computer Vision technologies in food and agricultural sciences will find this dataset valuable in advancing precision farming and food processing mechanisms. …”
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Confronting food insecurity through agricultural interventions: the Farmer FIRST program in India by Purushothaman Venkatesan, Nilakandan Sivaramane, Ch Srinivasa Rao, Ramanujam Venkattakumar, Sethuraman Sivakumar, Palanisamy Mooventhan, Rajarshi Roy Burman, Bommu Kalyani, Lalitha Navya Challa

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Mapping groundwater potential zone by robust machine learning algorithms & remote sensing techniques in agriculture dominated area, Bangladesh by M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md Fuad Hassan

“…The enhancement of human accessibility to sufficient quantities and high-quality groundwater resources is one of the major goals of this research. Several machine learning algorithms and analytical hierarchy process (AHP) models along with geographic information systems (GIS) software integrate sixteen thematic layers, including elevation, slope, soil types, topographic wetness index (TWI), normalized difference water index (NDWI), normalized difference vegetation index (NDVI), curvature, soil permeability, physiography, topographic position index (TPI), terrain roughness index (TRI), stream power index (SPI), distance from river, rainfall, drainage density, and land use land cover (LULC) to create a groundwater potential zone map. …”
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