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8,561 Results Found

  • Letter
  • Open Access
19 Citations
5,259 Views
12 Pages

Ramie Yield Estimation Based on UAV RGB Images

  • Hongyu Fu,
  • Chufeng Wang,
  • Guoxian Cui,
  • Wei She and
  • Liang Zhao

19 January 2021

Timely and accurate crop growth monitoring and yield estimation are important for field management. The traditional sampling method used for estimation of ramie yield is destructive. Thus, this study proposed a new method for estimating ramie yield b...

  • Article
  • Open Access
1 Citations
1,795 Views
14 Pages

A Model for Yield Estimation Based on Sea Buckthorn Images

  • Yingjie Du,
  • Haichao Wang,
  • Chunguang Wang,
  • Chunhui Zhang and
  • Zheying Zong

11 July 2023

Sea buckthorn is an extremely drought-tolerant, resilient and sustainable crop that can be grown in areas with harsh climates and scarce resources to provide a source of nutrition and income for the local population. The use of image-based yield esti...

  • Article
  • Open Access
14 Citations
4,216 Views
17 Pages

Culling Double Counting in Sequence Images for Fruit Yield Estimation

  • Xue Xia,
  • Xiujuan Chai,
  • Ning Zhang,
  • Zhao Zhang,
  • Qixin Sun and
  • Tan Sun

10 February 2022

Exact yield estimation of fruits on plants guaranteed fine and timely decisions on harvesting and marketing practices. Automatic yield estimation based on unmanned agriculture offers a viable solution for large orchards. Recent years have witnessed n...

  • Article
  • Open Access
36 Citations
6,251 Views
18 Pages

Vision System for Automatic On-Tree Kiwifruit Counting and Yield Estimation

  • Mohamed Lamine Mekhalfi,
  • Carlo Nicolò,
  • Ivan Ianniello,
  • Federico Calamita,
  • Rino Goller,
  • Maurizio Barazzuol and
  • Farid Melgani

29 July 2020

Yield estimation is an essential preharvest practice among most large-scale farming companies, since it enables the predetermination of essential logistics to be allocated (i.e., transportation means, supplies, labor force, among others). An overesti...

  • Article
  • Open Access
17 Citations
4,863 Views
17 Pages

Field Data Collection Methods Strongly Affect Satellite-Based Crop Yield Estimation

  • Kate Tiedeman,
  • Jordan Chamberlin,
  • Frédéric Kosmowski,
  • Hailemariam Ayalew,
  • Tesfaye Sida and
  • Robert J. Hijmans

21 April 2022

Crop yield estimation from satellite data requires field observations to fit and evaluate predictive models. However, it is not clear how much field data collection methods matter for predictive performance. To evaluate this, we used maize yield esti...

  • Article
  • Open Access
5 Citations
3,380 Views
22 Pages

National Scale Maize Yield Estimation by Integrating Multiple Spectral Indexes and Temporal Aggregation

  • Yuhua He,
  • Bingwen Qiu,
  • Feifei Cheng,
  • Chongcheng Chen,
  • Yu Sun,
  • Dongshui Zhang,
  • Li Lin and
  • Aizhen Xu

10 January 2023

Maize yield in China accounts for more than one-fourth of the global maize yield, but it is challenged by frequent extreme weather and increasing food demand. Accurate and timely estimation of maize yield is of great significance to crop management a...

  • Article
  • Open Access
10 Citations
3,815 Views
14 Pages

Pumpkin Yield Estimation Using Images from a UAV

  • Henrik Skov Midtiby and
  • Elżbieta Pastucha

16 April 2022

The paper presents a pumpkin yield estimation method using images acquired by a UAV. The processing pipeline is fully automated. It consists of orthomosaic generation, a color model collection using a random subset of the data, color segmentation, an...

  • Article
  • Open Access
823 Views
23 Pages

Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation

  • Mengyao Han,
  • Jian Gao,
  • Cuiqing Wu,
  • Qingliang Cui,
  • Xiangyang Yuan and
  • Shujin Qiu

23 June 2025

In the natural field environment, the high planting density of sorghum and severe occlusion among spikes substantially increases the difficulty of sorghum spike recognition, resulting in frequent false positives and false negatives. The target detect...

  • Review
  • Open Access
49 Citations
10,548 Views
27 Pages

7 September 2021

Purpose—knowing in advance vineyard yield is a critical success factor so growers and winemakers can achieve the best balance between vegetative and reproductive growth. It is also essential for planning and regulatory purposes at the regional level....

  • Article
  • Open Access
1 Citations
1,541 Views
16 Pages

30 April 2025

Orchard yield estimation is one of the key indicators of precision agriculture. The traditional random sampling yield estimation method has strict requirements for the laborer experience and scale of orchards. Intelligent orchard management enables g...

  • Article
  • Open Access
40 Citations
10,209 Views
16 Pages

Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning

  • Md Didarul Islam,
  • Liping Di,
  • Faisal Mueen Qamer,
  • Sravan Shrestha,
  • Liying Guo,
  • Li Lin,
  • Timothy J. Mayer and
  • Aparna R. Phalke

30 April 2023

This study developed a rapid rice yield estimation workflow and customized yield prediction model by integrating remote sensing and meteorological data with machine learning (ML). Several issues need to be addressed while developing a crop yield esti...

  • Article
  • Open Access
308 Views
17 Pages

UAV-Based Computer Vision Approach for Melon Fruit Detection and Yield Estimation

  • Hassan Aldakn,
  • Giovanna Dragonetti,
  • Roula Khadra,
  • Ahmed Ali Ayoub Abdelmoneim and
  • Bilal Derardja

Accurate and timely crop yield estimation remains a major challenge in agriculture due to the limitations of traditional field-based methods, which are labor-intensive, destructive, and unsuitable for large-scale applications. While recent advances i...

  • Article
  • Open Access
12 Citations
6,301 Views
15 Pages

Estimation of Rubber Yield Using Sentinel-2 Satellite Data

  • Niwat Bhumiphan,
  • Jurawan Nontapon,
  • Siwa Kaewplang,
  • Neti Srihanu,
  • Werapong Koedsin and
  • Alfredo Huete

26 April 2023

Rubber is a perennial plant grown to produce natural rubber. It is a raw material for industrial and non-industrial products important to the world economy. The sustainability of natural rubber production is, therefore, critical for smallholder livel...

  • Article
  • Open Access
44 Citations
7,169 Views
20 Pages

Wheat Yield Estimation from NDVI and Regional Climate Models in Latvia

  • Astrid Vannoppen,
  • Anne Gobin,
  • Lola Kotova,
  • Sara Top,
  • Lesley De Cruz,
  • Andris Vīksna,
  • Svetlana Aniskevich,
  • Leonid Bobylev,
  • Lars Buntemeyer and
  • Piet Termonia
  • + 8 authors

10 July 2020

Wheat yield variability will increase in the future due to the projected increase in extreme weather events and long-term climate change effects. Currently, regional agricultural statistics are used to monitor wheat yield. Remotely sensed vegetation...

  • Article
  • Open Access
56 Citations
8,504 Views
21 Pages

Determination of Appropriate Remote Sensing Indices for Spring Wheat Yield Estimation in Mongolia

  • Battsetseg Tuvdendorj,
  • Bingfang Wu,
  • Hongwei Zeng,
  • Gantsetseg Batdelger and
  • Lkhagvadorj Nanzad

1 November 2019

In Mongolia, the monitoring and estimation of spring wheat yield at the regional and national levels are key issues for the agricultural policy and food management as well as for the economy and society as a whole. The remote sensing data and techniq...

  • Article
  • Open Access
6 Citations
3,114 Views
21 Pages

County Scale Corn Yield Estimation Based on Multi-Source Data in Liaoning Province

  • Ge Qu,
  • Yanmin Shuai,
  • Congying Shao,
  • Xiuyuan Peng and
  • Jiapeng Huang

22 May 2023

Corn as a dominant and productive cereal crop has been recognized as indispensable to the global food system and industrial raw materials. China’s corn consumption reached 2.82 × 108 t in 2021, but its production was only 2.65 × 108...

  • Article
  • Open Access
4,260 Views
35 Pages

Crude Oil Yield Estimation: Recent Advances and Technological Progress in the Oil Refining Industry

  • Wan Nazihah Liyana Wan Jusoh,
  • Madiah Binti Omar,
  • Abdul Sami,
  • Kishore Bingi and
  • Rosdiazli Ibrahim

4 September 2025

Oil refineries depend greatly on the estimation of crude oil properties in order to understand the oil’s behaviour and the product fractions expected from the refining process. In yield estimation, the crude oil source and variant can cause var...

  • Article
  • Open Access
121 Citations
8,374 Views
19 Pages

Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images

  • Huilin Tao,
  • Haikuan Feng,
  • Liangji Xu,
  • Mengke Miao,
  • Guijun Yang,
  • Xiaodong Yang and
  • Lingling Fan

24 February 2020

Crop yield is related to national food security and economic performance, and it is therefore important to estimate this parameter quickly and accurately. In this work, we estimate the yield of winter wheat using the spectral indices (SIs), ground-me...

  • Article
  • Open Access
29 Citations
4,909 Views
23 Pages

Cotton Yield Estimation Using the Remotely Sensed Cotton Boll Index from UAV Images

  • Guanwei Shi,
  • Xin Du,
  • Mingwei Du,
  • Qiangzi Li,
  • Xiaoli Tian,
  • Yiting Ren,
  • Yuan Zhang and
  • Hongyan Wang

14 September 2022

Cotton constitutes 81% of the world’s natural fibers. Accurate and rapid cotton yield estimation is important for cotton trade and agricultural policy development. Therefore, we developed a remote sensing index that can intuitively represent co...

  • Article
  • Open Access
545 Views
21 Pages

Yield Estimation of Longline Aquaculture by the Shadows of Buoys Based on UAV Orthophoto Image

  • Dongxu Yang,
  • Shengmao Zhang,
  • Xirui Xu,
  • Qi Wu,
  • Wei Fan,
  • Leilei Zhang,
  • Siyao Wu and
  • Fei Wang

12 November 2025

Yield prediction in longline aquaculture is essential for evaluating environmental impacts, facilitating risk assessment, and promoting sustainable management in fisheries. However, since cultured organisms in longline aquaculture are submerged and c...

  • Article
  • Open Access
1 Citations
1,317 Views
16 Pages

A Shooting Distance Adaptive Crop Yield Estimation Method Based on Multi-Modal Fusion

  • Dan Xu,
  • Ba Li,
  • Guanyun Xi,
  • Shusheng Wang,
  • Lei Xu and
  • Juncheng Ma

25 April 2025

To address the low estimation accuracy of deep learning-based crop yield image recognition methods under untrained shooting distances, this study proposes a shooting distance adaptive crop yield estimation method by fusing RGB and depth image informa...

  • Article
  • Open Access
19 Citations
7,482 Views
18 Pages

Temporal Dependency of Yield and Quality Estimation through Spectral Vegetation Indices in Pear Orchards

  • Jonathan Van Beek,
  • Laurent Tits,
  • Ben Somers,
  • Tom Deckers,
  • Wim Verjans,
  • Dany Bylemans,
  • Pieter Janssens and
  • Pol Coppin

4 August 2015

Yield and quality estimations provide vital information to fruit growers, yet require accurate monitoring throughout the growing season. To this end, the temporal dependency of fruit yield and quality estimations through spectral vegetation indices w...

  • Article
  • Open Access
76 Citations
9,132 Views
18 Pages

Vineyard Yield Estimation Based on the Analysis of High Resolution Images Obtained with Artificial Illumination at Night

  • Davinia Font,
  • Marcel Tresanchez,
  • Dani Martínez,
  • Javier Moreno,
  • Eduard Clotet and
  • Jordi Palacín

9 April 2015

This paper presents a method for vineyard yield estimation based on the analysis of high-resolution images obtained with artificial illumination at night. First, this paper assesses different pixel-based segmentation methods in order to detect reddis...

  • Article
  • Open Access
42 Citations
8,165 Views
18 Pages

9 January 2019

Precisely estimating the yield of paddy rice is crucial for national food security and development evaluation. Rice yield estimation based on satellite imagery is usually performed with global regression models; however, estimation errors may occur b...

  • Article
  • Open Access
5 Citations
2,242 Views
23 Pages

Winter Wheat Yield Estimation by Fusing CNN–MALSTM Deep Learning with Remote Sensing Indices

  • Changchun Li,
  • Lei Zhang,
  • Xifang Wu,
  • Huabin Chai,
  • Hengmao Xiang and
  • Yinghua Jiao

1 November 2024

A rapid and accurate determination of large-scale winter wheat yield is significant for food security and policy formulation. In this study, meteorological data and enhanced vegetation index (EVI) were used to estimate the winter wheat yield in Henan...

  • Article
  • Open Access
207 Citations
11,031 Views
19 Pages

Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle

  • Zhaopeng Fu,
  • Jie Jiang,
  • Yang Gao,
  • Brian Krienke,
  • Meng Wang,
  • Kaitai Zhong,
  • Qiang Cao,
  • Yongchao Tian,
  • Yan Zhu and
  • Xiaojun Liu
  • + 1 author

5 February 2020

Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-time, nondestructive monitoring of crop growth is instructive for the diagnosis of crop growth and prediction of grain yield. Unmanned aerial vehicle (UAV)-bas...

  • Article
  • Open Access
344 Views
21 Pages

Hyperspectral Yield Estimation of Winter Wheat Based on Information Fusion of Critical Growth Stages

  • Xuebing Wang,
  • Yufei Wang,
  • Haoyong Wu,
  • Chenhai Kang,
  • Jiang Sun,
  • Xianjie Gao,
  • Meichen Feng,
  • Yu Zhao and
  • Lujie Xiao

12 January 2026

Timely and accurate crop yield estimation is vital for food security and management decision-making. Integrating remote sensing with machine learning provides an effective solution. In this study, based on canopy hyperspectral data collected by an AS...

  • Article
  • Open Access
337 Views
27 Pages

Winter Wheat Yield Estimation Under Different Management Practices Using Multi-Source Data Fusion

  • Hao Kong,
  • Jingxu Wang,
  • Taiyi Cai,
  • Jun Du,
  • Chang Zhao,
  • Chanjuan Hu and
  • Han Jiang

25 December 2025

Accurate crop yield estimation under differentiated management practices is a core requirement for the development of smart agriculture. However, current yield estimation models face two major challenges: limited adaptability to different management...

  • Article
  • Open Access
3 Citations
1,567 Views
16 Pages

The Yield Estimation of Apple Trees Based on the Best Combination of Hyperspectral Sensitive Wavelengths Algorithm

  • Anran Qin,
  • Jiarui Sun,
  • Xicun Zhu,
  • Meixuan Li,
  • Cheng Li,
  • Ling Wang,
  • Xinyang Yu and
  • Yuanmao Jiang

10 January 2025

Agriculture’s sustainable growth necessitates the application of advanced science and technology to ensure the sensible use of resources and improve the agricultural economy’s long-term stability. In this study, apple trees were employed...

  • Article
  • Open Access
27 Citations
6,017 Views
23 Pages

7 December 2021

The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of wint...

  • Article
  • Open Access
2,078 Views
17 Pages

Integrating WOFOST and Deep Learning for Winter Wheat Yield Estimation in the Huang-Huai-Hai Plain

  • Yachao Zhao,
  • Xin Du,
  • Jingyuan Xu,
  • Qiangzi Li,
  • Yuan Zhang,
  • Hongyan Wang,
  • Sifeng Yan,
  • Shuguang Gong and
  • Haoxuan Hu

The Huang-Huai-Hai Plain is one of China’s primary winter wheat production regions, making accurate yield estimation critical for agricultural decision-making and national food security. In this study, a yield estimation framework was developed...

  • Article
  • Open Access
28 Citations
8,284 Views
18 Pages

The Estimation of Regional Crop Yield Using Ensemble-Based Four-Dimensional Variational Data Assimilation

  • Zhiwei Jiang,
  • Zhongxin Chen,
  • Jin Chen,
  • Jianqiang Ren,
  • Zongnan Li and
  • Liang Sun

25 March 2014

To improve crop model performance for regional crop yield estimates, a new four-dimensional variational algorithm (POD4DVar) merging the Monte Carlo and proper orthogonal decomposition techniques was introduced to develop a data assimilation strategy...

  • Article
  • Open Access
21 Citations
4,487 Views
18 Pages

Wheat Yield Estimation at High Spatial Resolution through the Assimilation of Sentinel-2 Data into a Crop Growth Model

  • El houssaine Bouras,
  • Per-Ola Olsson,
  • Shangharsha Thapa,
  • Jesús Mallol Díaz,
  • Johannes Albertsson and
  • Lars Eklundh

8 September 2023

Monitoring crop growth and estimating crop yield are essential for managing agricultural production, ensuring food security, and maintaining sustainable agricultural development. Combining the mechanistic framework of a crop growth model with remote...

  • Article
  • Open Access
5 Citations
2,172 Views
22 Pages

1 September 2023

The Pitaya industry is a specialty fruit industry in the mountainous region of Guizhou, China. The planted area in Guizhou reaches 7200 ha, ranking first in the country. At present, Pitaya planting lacks efficient yield estimation methods, which has...

  • Article
  • Open Access
1 Citations
3,686 Views
23 Pages

This paper introduces a major novelty: the empirical estimation of spot intraday yield curves based on tick-by-tick data on the Italian electronic interbank credit market (e-MID). To analyze the consequences of the recent financial crisis, we split t...

  • Proceeding Paper
  • Open Access
1,329 Views
10 Pages

1 September 2025

Watermelon is a popular fruit, predominantly cultivated in Asian countries. However, the production and harvesting processes present several challenges. Due to its size and weight, manually harvesting watermelons is labor-intensive and costly. In the...

  • Article
  • Open Access
7 Citations
4,974 Views
23 Pages

Precise Estimation of Sugarcane Yield at Field Scale with Allometric Variables Retrieved from UAV Phantom 4 RTK Images

  • Qiuyan Huang,
  • Juanjuan Feng,
  • Maofang Gao,
  • Shuangshuang Lai,
  • Guangping Han,
  • Zhihao Qin,
  • Jinlong Fan and
  • Yuling Huang

27 February 2024

The precise estimation of sugarcane yield at the field scale is urgently required for harvest planning and policy-oriented management. Sugarcane yield estimation from satellite remote sensing is available, but satellite image acquisition is affected...

  • Proceeding Paper
  • Open Access
1,669 Views
7 Pages

Accurate crop yield Mapping is paramount in agricultural monitoring and food security. In this study, we present a comprehensive investigation into estimating winter wheat yield in the Qazvin plane of Iran, leveraging the synergy between machine lear...

  • Article
  • Open Access
115 Citations
8,762 Views
21 Pages

22 May 2021

Deep learning has already been successfully used in the development of decision support systems in various domains. Therefore, there is an incentive to apply it in other important domains such as agriculture. Fertilizers, electricity, chemicals, huma...

  • Article
  • Open Access
62 Citations
9,140 Views
26 Pages

Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation

  • Kai-Yun Li,
  • Raul Sampaio de Lima,
  • Niall G. Burnside,
  • Ele Vahtmäe,
  • Tiit Kutser,
  • Karli Sepp,
  • Victor Henrique Cabral Pinheiro,
  • Ming-Der Yang,
  • Ants Vain and
  • Kalev Sepp

24 February 2022

The incorporation of autonomous computation and artificial intelligence (AI) technologies into smart agriculture concepts is becoming an expected scientific procedure. The airborne hyperspectral system with its vast area coverage, high spectral resol...

  • Article
  • Open Access
3 Citations
1,382 Views
19 Pages

Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm

  • Ileana De los Ángeles Fallas Calderón,
  • Muditha K. Heenkenda,
  • Tarlok S. Sahota and
  • Laura Segura Serrano

21 June 2025

Northwestern Ontario has a shorter growing season but fertile soil, affordable land, opportunities for agricultural diversification, and a demand for canola production. Canola yield mainly varies with spatial heterogeneity of soil properties, crop pa...

  • Article
  • Open Access
1,068 Views
23 Pages

Machine Learning Models for Yield Estimation of Hybrid and Conventional Japonica Rice Cultivars Using UAV Imagery

  • Luyao Zhang,
  • Xueyu Liang,
  • Xiao Li,
  • Kai Zeng,
  • Qingshan Chen and
  • Zhenqing Zhao

22 September 2025

Advancements in unmanned aerial vehicle (UAV) multispectral systems offer robust technical support for the precise and efficient estimation of japonica rice yield in cold regions within the framework of precision agriculture. These innovations also p...

  • Article
  • Open Access
19 Citations
4,604 Views
22 Pages

24 July 2020

Knowledge of sub-field yield potential is critical for guiding precision farming. The recently developed simulated observation of point cloud (SOPC) method can generate high spatial resolution winter wheat effective leaf area index (SOPC-LAIe) maps f...

  • Article
  • Open Access
43 Citations
8,485 Views
18 Pages

Remote Sensing Based Yield Estimation of Rice (Oryza Sativa L.) Using Gradient Boosted Regression in India

  • Ponraj Arumugam,
  • Abel Chemura,
  • Bernhard Schauberger and
  • Christoph Gornott

18 June 2021

Accurate and spatially explicit yield information is required to ensure farmers’ income and food security at local and national levels. Current approaches based on crop cutting experiments are expensive and usually too late for timely income stabiliz...

  • Article
  • Open Access
1 Citations
1,679 Views
23 Pages

Deriving Early Citrus Fruit Yield Estimation by Combining Multiple Growing Period Data and Improved YOLOv8 Modeling

  • Menglin Zhai,
  • Juanli Jing,
  • Shiqing Dou,
  • Jiancheng Du,
  • Rongbin Wang,
  • Jichi Yan,
  • Yaqin Song and
  • Zhengmin Mei

31 July 2025

Early crop yield prediction is a major challenge in precision agriculture, and efficient and rapid yield prediction is highly important for sustainable fruit production. The accurate detection of major fruit characteristics, including flowering, gree...

  • Review
  • Open Access
39 Citations
22,564 Views
23 Pages

23 September 2024

This review explores the integration of Artificial Intelligence (AI) with Sentinel-2 satellite data in the context of precision agriculture, specifically for crop yield estimation. The rapid advancements in remote sensing technology, particularly thr...

  • Article
  • Open Access
43 Citations
6,306 Views
15 Pages

GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs

  • Luca Coviello,
  • Marco Cristoforetti,
  • Giuseppe Jurman and
  • Cesare Furlanello

16 July 2020

We introduce here the Grape Berries Counting Net (GBCNet), a tool for accurate fruit yield estimation from smartphone cameras, by adapting Deep Learning algorithms originally developed for crowd counting. We test GBCNet using cross-validation procedu...

  • Article
  • Open Access
13 Citations
4,794 Views
18 Pages

14 September 2024

To investigate effective techniques for estimating rice production in hilly and mountainous areas, in this study, we collected yield data at the field level, agro-meteorological data, and Sentinel-2/MSI remote sensing data in Chongqing, China, betwee...

  • Article
  • Open Access
10 Citations
4,088 Views
31 Pages

Fresh Yield Estimation of Spring Tea via Spectral Differences in UAV Hyperspectral Images from Unpicked and Picked Canopies

  • Zongtai He,
  • Kaihua Wu,
  • Fumin Wang,
  • Lisong Jin,
  • Rongxu Zhang,
  • Shoupeng Tian,
  • Weizhi Wu,
  • Yadong He,
  • Ran Huang and
  • Yao Zhang
  • + 1 author

17 February 2023

At present, spring tea yield is mainly estimated through a manual sampling survey. Obtaining yield information is time consuming and laborious for the whole spring tea industry, especially at the regional scale. Remote sensing yield estimation is a p...

  • Article
  • Open Access
16 Citations
4,414 Views
18 Pages

3 August 2022

Accurate and timely regional crop yield information, particularly field-level yield estimation, is essential for commodity traders and producers in planning production, growing, harvesting, and other interconnected marketing activities. In this study...

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