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The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide the first deep investigation of the predictive potential of machine…

Machine Learning · Statistics 2024-02-20 Rosa Aghdam , Xudong Tang , Shan Shan , Richard Lankau , Claudia Solís-Lemus

The concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity. However, the effects of such practices are known to depend…

Climate change and increases in drought conditions affect the lives of many and are closely tied to global agricultural output and livestock production. This research presents a novel approach utilizing machine learning frameworks for…

Image and Video Processing · Electrical Eng. & Systems 2023-06-02 Veronica Wairimu Muriga , Benjamin Rich , Francesco Mauro , Alessandro Sebastianelli , Silvia Liberata Ullo

Agriculture plays a fundamental role in driving economic growth and ensuring food security for populations around the world. Although labor-intensive agriculture has led to steady increases in food grain production in many developing…

The 2030 Agenda for Sustainable Development of the United Nations outlines 17 goals for countries of the world to address global challenges in their development. However, the progress of countries towards these goal has been slower than…

Drought is a serious natural disaster that has a long duration and a wide range of influence. To decrease the drought-caused losses, drought prediction is the basis of making the corresponding drought prevention and disaster reduction…

Machine Learning · Computer Science 2022-07-08 Weiwei Jiang , Jiayun Luo

In response to climate change, assessing crop productivity under extreme weather conditions is essential to enhance food security. Crop simulation models, which align with physical processes, offer explainability but often perform poorly.…

Machine Learning · Computer Science 2025-01-03 Miro Miranda , Marcela Charfuelan , Andreas Dengel

The world population is anticipated to increase by close to 2 billion by 2050 causing a rapid escalation of food demand. A recent projection shows that the world is lagging behind accomplishing the "Zero Hunger" goal, in spite of some…

Climate change in India is one of the most alarming problems faced by our community. Due to adverse and sudden changes in climate in past few years, mankind is at threat. Various impacts of climate change include extreme heat, changing…

Applications · Statistics 2022-01-26 Rutvij Wamanse , Tushuli Patil

With billions of people facing moderate or severe food insecurity, the resilience of the global food supply will be of increasing concern due to the effects of climate change and geopolitical events. In this paper we describe a framework to…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 David Willmes , Nick Krall , James Tanis , Zachary Terner , Fernando Tavares , Chris Miller , Joe Haberlin , Matt Crichton , Alexander Schlichting

Efficient nutrient management and precise fertilization are essential for advancing modern agriculture, particularly in regions striving to optimize crop yields sustainably. The AgroLens project endeavors to address this challenge by…

Agricultural price prediction is crucial for farmers, policymakers, and other stakeholders in the agricultural sector. However, it is a challenging task due to the complex and dynamic nature of agricultural markets. Machine learning…

Artificial Intelligence · Computer Science 2023-10-31 Nhat-Quang Tran , Anna Felipe , Thanh Nguyen Ngoc , Tom Huynh , Quang Tran , Arthur Tang , Thuy Nguyen

Agricultural production is affected by climate extremes, which are increasing because of global warming. This motivates the need of a proper evaluation of the agricultural production systems resilience to enhance food security, market…

Populations and Evolution · Quantitative Biology 2019-02-08 Matteo Zampieri , Christof Weissteiner , Bruna Grizzetti , Andrea Toreti , Maurits van den Berg M. , Frank Dentener

Food security, a global concern, necessitates precise and diverse data-driven solutions to address its multifaceted challenges. This paper explores the integration of AI foundation models across various food security applications,…

Artificial Intelligence · Computer Science 2023-11-01 Mohamed R. Shoaib , Heba M. Emara , Jun Zhao

This paper introduces a Bayesian hierarchical modeling framework within a fully probabilistic setting for crop yield estimation, model selection, and uncertainty forecasting under multiple future greenhouse gas emission scenarios. By…

Applications · Statistics 2025-07-30 Dan Li , Vassili Kitsios , David Newth , Terence John O'Kane

Many machine learning (ML) approaches are widely used to generate bioclimatic models for prediction of geographic range of organism as a function of climate. Applications such as prediction of range shift in organism, range of invasive…

Machine Learning · Computer Science 2013-06-19 Maumita Bhattacharya

Climate change is posing new challenges to crop-related concerns including food insecurity, supply stability and economic planning. As one of the central challenges, crop yield prediction has become a pressing task in the machine learning…

Machine Learning · Computer Science 2022-01-25 Joshua Fan , Junwen Bai , Zhiyun Li , Ariel Ortiz-Bobea , Carla P. Gomes

Crops, fisheries and livestock form the backbone of global food production, essential to feed the ever-growing global population. However, these sectors face considerable challenges, including climate variability, resource limitations, and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-06 Umair Nawaz , Muhammad Zaigham Zaheer , Ufaq Khan , Fahad Shahbaz Khan , Hisham Cholakkal , Salman Khan , Rao Muhammad Anwer

Farmers face several challenges when growing crops like uncertain irrigation, poor soil quality, etc. Especially in India, a major fraction of farmers do not have the knowledge to select appropriate crops and fertilizers. Moreover, crop…

Machine Learning · Computer Science 2022-04-26 Shloka Gupta , Akshay Chopade , Nishit Jain , Aparna Bhonde

As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent's unique challenges. While Artificial Intelligence (AI) emerges as a critical and valuable tool for…

Computers and Society · Computer Science 2024-07-09 Rendani Mbuvha , Yassine Yaakoubi , John Bagiliko , Santiago Hincapie Potes , Amal Nammouchi , Sabrina Amrouche