Results 1 to 10 of about 4,857,354 (360)
How Does the Waterlogging Regime Affect Crop Yield? A Global Meta-Analysis
Frontiers in Plant Science, 2021 Waterlogging, an abiotic stress, severely restricts crop yield in various parts of the world. Thus, we conducted a meta-analysis of 2,419 comparisons from 115 studies to comprehensively evaluate the overall change in crop yield induced by waterlogging in
Li-xin Tian +7 more
doaj +2 more sources
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing
Remote Sensing, 2022 Deep learning has emerged as a potential tool for crop yield prediction, allowing the model to automatically extract features and learn from the datasets. Meanwhile, smart farming technology enables the farmers to achieve maximum crop yield by extracting
Priyanga Muruganantham +4 more
doaj +2 more sources
Perspectives on improving photosynthesis to increase crop yield. [PDF]
Plant CellImproving photosynthesis, the fundamental process by which plants convert light energy into chemical energy, is a key area of research with great potential for enhancing sustainable agricultural productivity and addressing global food security challenges.
Croce R +13 more
europepmc +2 more sources
Environmental Research Letters, 2022 Projecting future changes in crop yield usually relies on process-based crop models, but the associated uncertainties (i.e. the range between models) are often high. In this study, a Machine Learning (i.e.
Xiaomeng Yin, Guoyong Leng
doaj +2 more sources
Review on Drip Irrigation: Impact on Crop Yield, Quality, and Water Productivity in China
Water, 2023 The scarcity of freshwater resources is a global concern that is exacerbated by an increasing global population and climate change induced by global warming.
Pei Yang +6 more
semanticscholar +1 more source
Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize
Agriculture, 2023 Although agriculture remains the dominant economic activity in many countries around the world, in recent years this sector has continued to be negatively impacted by climate change leading to food insecurities.
Martin Kuradusenge +8 more
semanticscholar +1 more source
Improved Optimization Algorithm in LSTM to Predict Crop Yield
De Computis, 2023 Agriculture is the main occupation across the world with a dependency on rainfall. Weather changes play a crucial role in crop yield and were used to predict the yield rate by considering precipitation, wind, temperature, and solar radiation.
Usharani Bhimavarapu +2 more
semanticscholar +1 more source
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2021 Climate change is posing new challenges to crop-related concerns, including food insecurity, supply stability, and economic planning. Accurately predicting crop yields is crucial for addressing these challenges.
Joshua Fan +4 more
semanticscholar +1 more source
Neural computing & applications (Print), 2023 Agriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic, environmental, and crop traits extracted via decision ...
Fatma M. Talaat
semanticscholar +1 more source
Soybean photosynthesis and crop yield are improved by accelerating recovery from photoprotection
Science, 2022 Crop leaves in full sunlight dissipate damaging excess absorbed light energy as heat. This protective dissipation continues after the leaf transitions to shade, reducing crop photosynthesis.
A. P. de Souza +9 more
semanticscholar +1 more source