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C. Brock Porth, Lysa Porth, Wenjun Zhu, Milton Boyd, Ken Seng Tan & Kai Liu. (2020) Remote Sensing Applications for Insurance: A Predictive Model for Pasture Yield in the Presence of Systemic Weather. North American Actuarial Journal 24:2, pages 333-354.
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Jarosław Kurek, Gniewko Niedbała, Tomasz Wojciechowski, Bartosz Świderski, Izabella Antoniuk, Magdalena Piekutowska, Michał Kruk & Krzysztof Bobran. (2023) Prediction of Potato (Solanum tuberosum L.) Yield Based on Machine Learning Methods. Agriculture 13:12, pages 2259.
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Yingbin He, Shanjun Luo, Yan Zha, Xueqin Jiang, Xiangyi Wang, Huicong Chen & Shengnan Han. (2023) Impacts of Multi-Strategy Nitrogen Fertilizer Management on Potato Yield and Economic Gains in Northeast China. Agronomy 13:12, pages 2920.
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Gizachew Ayalew Tiruneh, Derege Tsegaye Meshesha, Enyew Adgo, Atsushi Tsunekawa, Nigussie Haregeweyn, Ayele Almaw Fenta, Tiringo Yilak Alemayehu, Temesgen Mulualem, Genetu Fekadu, Simeneh Demissie & José Miguel Reichert. (2023) Mapping crop yield spatial variability using Sentinel-2 vegetation indices in Ethiopia. Arabian Journal of Geosciences 16:11.
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О.И. Пищимко & Л.В. Гарафутдинова. (2023) USE OF REMOTE SENSING TO FORECAST POTATO YIELD (on the example of the Irkutsk region). Proceedings of Siberian Regional Hydrometeorological Research Institute:108, pages 104-111.
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Alex Mukiibi, Angelinus Cornelius Franke & Joachim Martin Steyn. (2023) Determination of Crop Coefficients and Evapotranspiration of Potato in a Semi-Arid Climate Using Canopy State Variables and Satellite-Based NDVI. Remote Sensing 15:18, pages 4579.
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Ruthie A. Burrows, Kathryn Grace, Molly E. Brown & Amy McNally. (2023) Considering soil moisture in models of climate impacts on child health in farming-centric countries. Population and Environment 45:3.
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Olga S. Walsh, Eva Nambi, Sanaz Shafian, Dileepa M. Jayawardena, Emmanuella Owusu Ansah, Ritika Lamichhane & Jordan R. McClintick‐Chess. (2023) UAV‐based NDVI estimation of sugarbeet yield and quality under varied nitrogen and water rates. Agrosystems, Geosciences & Environment 6:1.
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Chen Sun, Jing Zhou, Yuchi Ma, Yijia Xu, Bin Pan & Zhou Zhang. (2022) A review of remote sensing for potato traits characterization in precision agriculture. Frontiers in Plant Science 13.
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Ahmed Kayad, Francelino A. RodriguesJrJr, Sergio Naranjo, Marco Sozzi, Francesco Pirotti, Francesco Marinello, Urs Schulthess, Pierre Defourny, Bruno Gerard & Marie Weiss. (2022) Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – Retrieving maize LAI to access biomass and grain yield. Field Crops Research 282, pages 108449.
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Mulenga Kalumba, Stefaan Dondeyne, Eline Vanuytrecht, Edwin Nyirenda & Jos Van Orshoven. (2022) Functional Evaluation of Digital Soil Hydraulic Property Maps through Comparison of Simulated and Remotely Sensed Maize Canopy Cover. Land 11:5, pages 618.
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Abdelkrim Bouasria, Abdelmejid Rahimi, Ikram El Mjiri, Khalid Ibno Namr, El Mostafa Ettachfini & Mohammed Bounif. (2021) Use of Remote Sensing Data to Estimate Sugar Beet Crop Yield in the Doukkala Irrigated Perimeter. Use of Remote Sensing Data to Estimate Sugar Beet Crop Yield in the Doukkala Irrigated Perimeter.
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Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan & Milad Eskandari. (2021) Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices. Remote Sensing 13:13, pages 2555.
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Patryk Hara, Magdalena Piekutowska & Gniewko Niedbała. (2021) Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data. Land 10:6, pages 609.
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Magdalena Piekutowska, Gniewko Niedbała, Tomasz Piskier, Tomasz Lenartowicz, Krzysztof Pilarski, Tomasz Wojciechowski, Agnieszka A. Pilarska & Aneta Czechowska-Kosacka. (2021) The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest. Agronomy 11:5, pages 885.
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