Machine learning for food security: current status, challenges, and future perspectives

Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey

(2023) Mehwish Zafar et al.   Life-Basel

Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security

(2023) Klaus Deininger et al.   FOOD POLICY

Classification and Segmentation of Diabetic Retinopathy: A Systemic Review

(2023) Natasha Shaukat et al.   Applied Sciences-Basel

Improving Crop Yield Predictions in Morocco Using Machine Learning Algorithms

(2023) Rachid Ed-Daoudi et al.   Journal of Ecological Engineering

Land Cover Change and Food Security in Central Sumba: Challenges and Opportunities in the Decentralization Era in Indonesia

(2023) Yohanis Ngongo et al.   Land

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

(2023) Danya Li et al.   Remote Sensing Applications: Society and Environment

Prediction of various parameters of desalination system using BOA- GPR machine learning technique for sustainable development: A case study

(2023) Neel Shrimali et al.   Environmental Challenges

A New Indicator for Global Food Security Assessment: Harvested Area Rather Than Cropland Area

(2022) Fengjiao Song et al.   Chinese Geographical Science

Synergy of optical and synthetic aperture radar data for early-stage crop yield estimation: a case study over a state of Germany

(2022) Parmita Ghosh et al.   Geocarto International

Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data

(2022) Babak Ghassemi et al.   Remote Sensing

Improving wheat yield prediction integrating proximal sensing and weather data with machine learning

(2022) Guojie Ruan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Contemporary machine learning applications in agriculture: Quo Vadis?

(2022) Atif Mahmood et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

A machine learning approach for identifying and delineating agricultural fields and their multi-temporal dynamics using three decades of Landsat data

(2022) Ting Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Retrospective Predictions of Rice and Other Crop Production in Madagascar Using Soil Moisture and an NDVI-Based Calendar from 2010–2017

(2022) Angela J. Rigden et al.   Remote Sensing

Dynamics and Determinants of the Grain Yield Gap in Major Grain-Producing Areas: A Case Study in Hunan Province, China

(2022) De Yu et al.   Foods

Analyzing University Students’ Perceptions Regarding Mainstream Pornography and Its Link to SDG5

(2022) Itsaso Biota et al.   International Journal of Environmental Research and Public Health

Monitoring Cropland Abandonment in Hilly Areas with Sentinel-1 and Sentinel-2 Timeseries

(2022) Shan He et al.   Remote Sensing

Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images

(2022) Ali Ben Abbes et al.   International Journal of Image and Data Fusion

Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach

(2022) Marcos Delprato et al.   INTERNATIONAL JOURNAL OF EDUCATIONAL DEVELOPMENT

Indirect Assessment of Watershed SDG7 Development Process Using Nighttime Light Data—An Example of the Aral Sea Watershed

(2022) Chaoliang Chen et al.   Remote Sensing

Cloud Computing Technology and PBL Teaching Approach for a Qualitative Education in Line with SDG4

(2022) Mohammed Airaj   Sustainability

Unraveling the Channels of Food Security of the Households in Northern Kenya: Evidence from an Exclusive Dataset

(2022) Patrick K. Rono et al.   Current Developments in Nutrition

A Comprehensive Survey on Quantum Machine Learning and Possible Applications

(2022) Muhammad Junaid Umer et al.   International Journal of E-Health and Medical Communications

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt

(2021) Mohsen Shahhosseini et al.   Scientific Reports

Potential of Hybrid CNN-RF Model for Early Crop Mapping with Limited Input Data

(2021) Geun-Ho Kwak et al.   Remote Sensing

Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining

(2021) Hansu Hwang et al.   Sustainability

Computer Vision and Machine Learning based approaches for Food Security: A Review

(2021) Shivani Sood et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries Using Satellite Images

(2021) François Waldner et al.   Remote Sensing

Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco

(2021) El houssaine Bouras et al.   Remote Sensing

An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

(2021) Huiren Tian et al.   AGRICULTURAL AND FOREST METEOROLOGY

Identifying causes of crop yield variability with interpretive machine learning

(2021) Edward J. Jones et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

(2021) Keyhan Gavahi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automated delineation of agricultural field boundaries from Sentinel-2 images using recurrent residual U-Net

(2021) Huanxue Zhang et al.   International Journal of Applied Earth Observation and Geoinformation

Food security prediction from heterogeneous data combining machine and deep learning methods

(2021) Hugo Deléglise et al.   EXPERT SYSTEMS WITH APPLICATIONS

Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

(2020) Aleksandra Wolanin et al.   Environmental Research Letters

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery

(2020) Sherrie Wang et al.   Remote Sensing

Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches

(2020) Xinlei Wang et al.   Remote Sensing

Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network

(2020) François Waldner et al.   REMOTE SENSING OF ENVIRONMENT

Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan

(2020) Nguyen-Thanh Son et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution

(2020) Dujuan Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring cropland abandonment with Landsat time series

(2020) He Yin et al.   REMOTE SENSING OF ENVIRONMENT

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning

(2020) Sherrie Wang et al.   Remote Sensing

Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine

(2020) Juan Cao et al.   EUROPEAN JOURNAL OF AGRONOMY

Alternatives to calorie-based indicators of food security: An application of machine learning methods

(2019) Marup Hossain et al.   FOOD POLICY

Crop Yield Prediction Using Deep Neural Networks

(2019) Saeed Khaki et al.   Frontiers in Plant Science

A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015

(2019) Nari Kim et al.   ISPRS International Journal of Geo-Information

Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data

(2019) Gómez et al.   Remote Sensing

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

(2019) Yaping Cai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

(2019) Abdulhakim Mohamed Abdi   GIScience & Remote Sensing

Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands

(2019) Saeed Khabbazan et al.   Remote Sensing

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

(2019) Jie Sun et al.   SENSORS

Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China

(2019) Hongwei Zhao et al.   Remote Sensing

Automating field boundary delineation with multi-temporal Sentinel-2 imagery

(2019) Barry Watkins et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Soybean yield prediction from UAV using multimodal data fusion and deep learning

(2019) Maitiniyazi Maimaitijiang et al.   REMOTE SENSING OF ENVIRONMENT

Mapping the supply and demand of Enset crop to improve food security in Southern Ethiopia

(2018) Mesfin Sahle et al.   Agronomy for Sustainable Development

3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images

(2018) Shunping Ji et al.   Remote Sensing

Assessing the suitability of data from Sentinel-1A and 2A for crop classification

(2017) Rei Sonobe et al.   GIScience & Remote Sensing

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

(2017) Jun Xiong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries

(2017) George Azzari et al.   REMOTE SENSING OF ENVIRONMENT

Satellite Data and Machine Learning for Weather Risk Management and Food Security

(2017) Enrico Biffis et al.   RISK ANALYSIS

Addressing future trade-offs between biodiversity and cropland expansion to improve food security

(2016) Ruth Delzeit et al.   Regional Environmental Change

Crop Diversity: An Unexploited Treasure Trove for Food Security

(2016) Festo Massawe et al.   TRENDS IN PLANT SCIENCE

Improved global cropland data as an essential ingredient for food security

(2015) Linda See et al.   Global Food Security-Agriculture Policy Economics and Environment

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model

(2008) Hongliang Fang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING