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Challenges and opportunities in remote sensing-based crop monitoring: A review
Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …
in global food markets both require concurrent and near-real-time and reliable crop …
[HTML][HTML] Technologies for forecasting tree fruit load and harvest timing—from ground, sky and time
The management and marketing of fruit requires data on expected numbers, size, quality
and timing. Current practice estimates orchard fruit load based on the qualitative …
and timing. Current practice estimates orchard fruit load based on the qualitative …
[HTML][HTML] Machine learning for large-scale crop yield forecasting
Many studies have applied machine learning to crop yield prediction with a focus on specific
case studies. The data and methods they used may not be transferable to other crops and …
case studies. The data and methods they used may not be transferable to other crops and …
Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches
F Huber, A Yushchenko, B Stratmann… - … and Electronics in …, 2022 - Elsevier
Accurate prediction of crop yield before harvest is of great importance for crop logistics,
market planning, and food distribution around the world. Yield prediction requires monitoring …
market planning, and food distribution around the world. Yield prediction requires monitoring …
[HTML][HTML] Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning
Despite significant progress has been made towards crop yield prediction with remote
sensing, there exist knowledge gaps on (1) the impacts of temporal resolution of imaging …
sensing, there exist knowledge gaps on (1) the impacts of temporal resolution of imaging …
[HTML][HTML] Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
F Wang, Q Yi, J Hu, L ** lands in the broadacre crop** region of Australia
Fallowing is an important strategy for enhancing soil health, water harvesting and crop
yields, thus improving sustainability and reducing production risks in dryland farming …
yields, thus improving sustainability and reducing production risks in dryland farming …
[HTML][HTML] Machine learning for regional crop yield forecasting in Europe
Crop yield forecasting at national level relies on predictors aggregated from smaller spatial
units to larger ones according to harvested crop areas. Such crop areas come from land …
units to larger ones according to harvested crop areas. Such crop areas come from land …
[HTML][HTML] Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
[HTML][HTML] Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm
The accurate classification of wetland vegetation is essential for rapid assessment and
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …