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Visible and near-infrared spectroscopy predicted leaf nitrogen contents of potato varieties under different growth and management conditions Precision Agric. (IF 6.2) Pub Date : 2024-04-01 Ashmita Rawal, Alfred Hartemink, Yakun Zhang, Yi Wang, Richard A. Lankau, Matthew D. Ruark
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Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection Precision Agric. (IF 6.2) Pub Date : 2024-04-01 Jingyao Gai, Jingyong Wang, Sasa Xie, Lirong Xiang, Ziting Wang
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Identifying strawberry appearance quality based on unsupervised deep learning Precision Agric. (IF 6.2) Pub Date : 2024-04-01 Hongfei Zhu, Xingyu Liu, Hao Zheng, Lianhe Yang, Xuchen Li, Zhongzhi Han
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Management zone classification for variable-rate soil residual herbicide applications Precision Agric. (IF 6.2) Pub Date : 2024-03-11 Rose V Vagedes, Jason P Ackerson, William G Johnson, Bryan G Young
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Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning Precision Agric. (IF 6.2) Pub Date : 2024-03-06 Shirin Mohammadi, Anne Kjersti Uhlen, Morten Lillemo, Åshild Ergon, Sahameh Shafiee
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How do spatial scale and seasonal factors affect thermal-based water status estimation and precision irrigation decisions in vineyards? Precision Agric. (IF 6.2) Pub Date : 2024-03-05 Idan Bahat, Yishai Netzer, José M. Grünzweig, Amos Naor, Victor Alchanatis, Alon Ben-Gal, Ohali’av Keisar, Guy Lidor, Yafit Cohen
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Chickpea leaf water potential estimation from ground and VENµS satellite Precision Agric. (IF 6.2) Pub Date : 2024-03-02
Abstract Chickpea (Cicer arietinum L.) is a major grain legume grown worldwide as a staple protein source. Traditionally, it is a rain-fed crop, but supplemental irrigation can increase yields and counteract the challenges posed by the changing climate worldwide. A fast and non-destructive plant water status assessment method may streamline irrigation management. The main objective of this study was
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Mapping grape production parameters with low-cost vehicle tracking devices Precision Agric. (IF 6.2) Pub Date : 2024-03-02
Abstract This study presents a method based on retrofitted low-cost and easy to implement tracking devices, used to monitor the whole harvesting process in viticulture, to map yield and harvest quality parameters in viticulture. The method consists of recording the geolocation of all the machines (harvest trailers and grape harvester) during the harvest to spatially re-allocate production parameters
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Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties Precision Agric. (IF 6.2) Pub Date : 2024-02-28 Ruth Kerry, Ben Ingram, Margaret Oliver, Zoë Frogbrook
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UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops Precision Agric. (IF 6.2) Pub Date : 2024-02-27
Abstract The fast and accurate provision of within-season data of green area index (GAI) and total N uptake (total N) is the basis for crop modeling and precision agriculture. However, due to rapid advancements in multispectral sensors and the high sampling effort, there is currently no existing reference work for the calibration of one UAV (unmanned aerial vehicle)-based multispectral sensor to GAI
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Destructive and non-destructive measurement approaches and the application of AI models in precision agriculture: a review Precision Agric. (IF 6.2) Pub Date : 2024-02-27 Maidul Islam, Suraj Bijjahalli, Thomas Fahey, Alessandro Gardi, Roberto Sabatini, David W. Lamb
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Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images Precision Agric. (IF 6.2) Pub Date : 2024-02-27 Arthur Lenoir, Bertrand Vandoorne, Ali Siah, Benjamin Dumont
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Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming Precision Agric. (IF 6.2) Pub Date : 2024-02-24
Abstract Site-specific estimation of lime requirement requires high-resolution maps of soil organic carbon (SOC), clay and pH. These maps can be generated with digital soil mapping models fitted on covariates observed by proximal soil sensors. However, the quality of the derived maps depends on the applied methodology. We assessed the effects of (i) training sample size (5–100); (ii) sampling design
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Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery Precision Agric. (IF 6.2) Pub Date : 2024-02-22 Jaturong Som-ard, Markus Immitzer, Francesco Vuolo, Clement Atzberger
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Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models Precision Agric. (IF 6.2) Pub Date : 2024-02-21 Michael Chibuike Ekwe, Oluseun Adeluyi, Jochem Verrelst, Angela Kross, Caleb Akoji Odiji
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An autonomous navigation method for orchard rows based on a combination of an improved a-star algorithm and SVR Precision Agric. (IF 6.2) Pub Date : 2024-02-20 Minghui Wang, Jian Xu, Jin Zhang, Yongjie Cui
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What if precision agriculture is not profitable?: A comprehensive analysis of the right timing for exiting, taking into account different entry options Precision Agric. (IF 6.2) Pub Date : 2024-02-17 Johannes Munz
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Using mid-infrared spectroscopy as a tool to monitor responses of acidic soil properties to liming: case study from a dryland agricultural soil trial site in South Australia Precision Agric. (IF 6.2) Pub Date : 2024-02-12 Ruby Hume, Petra Marschner, Sean Mason, Rhiannon K. Schilling, Luke M. Mosley
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Potential of multi-seasonal vegetation indices to predict rice yield from UAV multispectral observations Precision Agric. (IF 6.2) Pub Date : 2024-02-08 Xiaobo Sun, Panli Zhang, Zhenhua Wang, Yijia-Wang
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Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation Precision Agric. (IF 6.2) Pub Date : 2024-02-05 Custódio Efraim Matavel, Andreas Meyer-Aurich, Hans-Peter Piepho
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Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS Precision Agric. (IF 6.2) Pub Date : 2024-02-05 Bin Zhang, Yuyang Xia, Rongrong Wang, Yong Wang, Chenghai Yin, Meng Fu, Wei Fu
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Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake Precision Agric. (IF 6.2) Pub Date : 2024-02-01 G. Portz, J. P. Molin, T. F. Canata, V. I. Adamchuk
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High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning Precision Agric. (IF 6.2) Pub Date : 2024-02-01 Raquel Alves Oliveira, Roope Näsi, Panu Korhonen, Arja Mustonen, Oiva Niemeläinen, Niko Koivumäki, Teemu Hakala, Juha Suomalainen, Jere Kaivosoja, Eija Honkavaara
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Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial Precision Agric. (IF 6.2) Pub Date : 2024-02-01 Stefan Pätzold, Markus Ostermann, Tobias Heggemann, Ralf Wehrle
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Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards Precision Agric. (IF 6.2) Pub Date : 2024-01-10 Stav Rozenfeld, Noy Kalo, Amos Naor, Arnon Dag, Yael Edan, Victor Alchanatis
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Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation Precision Agric. (IF 6.2) Pub Date : 2024-01-09 A. F. Colaço, B. M. Whelan, R. G. V. Bramley, J. Richetti, M. Fajardo, A. C. McCarthy, E. M. Perry, A. Bender, S. Leo, G. J. Fitzgerald, R. A. Lawes
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Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs) Precision Agric. (IF 6.2) Pub Date : 2024-01-08 Qifu Luan, Cong Xu, Xueyu Tao, Lihua Chen, Jingmin Jiang, Yanjie Li
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Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model Precision Agric. (IF 6.2) Pub Date : 2024-01-07 Davood Poursina, B. Wade Brorsen, Dayton M. Lambert
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Potential to reduce the nitrate residue after harvest in maize fields without sacrificing yield through precision nitrogen management Precision Agric. (IF 6.2) Pub Date : 2023-12-30
Abstract Site-specific nitrogen management has been proposed as a tool to increase crop yield while decreasing nutrient losses to the environment. Many reports can be found on sensing technologies to quantify the variability within a field and the definition of management zones based on the observed variability. However, fewer studies have been dedicated to the selection of the most suitable N fertilizer
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Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran Precision Agric. (IF 6.2) Pub Date : 2023-12-27 Saeid Hojati, Asim Biswas, Mojtaba Norouzi Masir
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End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images Precision Agric. (IF 6.2) Pub Date : 2023-12-21 Sourav Bhadra, Vasit Sagan, Juan Skobalski, Fernando Grignola, Supria Sarkar, Justin Vilbig
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Enhancing direct-seeded rice yield prediction using UAV-derived features acquired during the reproductive phase Precision Agric. (IF 6.2) Pub Date : 2023-12-21 Guodong Yang, Yaxing Li, Shen Yuan, Changzai Zhou, Hongshun Xiang, Zhenqing Zhao, Qiaorong Wei, Qingshan Chen, Shaobing Peng, Le Xu
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Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments Precision Agric. (IF 6.2) Pub Date : 2023-12-19 Hongxing Peng, Hu Chen, Xin Zhang, Huanai Liu, Keyin Chen, Juntao Xiong
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Design, implementation and validation of a sensor-based precise airblast sprayer to improve pesticide applications in orchards Precision Agric. (IF 6.2) Pub Date : 2023-12-18 Bernat Salas, Ramón Salcedo, Francisco Garcia-Ruiz, Emilio Gil
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High-throughput phenotyping of individual plant height in an oilseed rape population based on Mask-RCNN and UAV images Precision Agric. (IF 6.2) Pub Date : 2023-12-15 Yutao Shen, Xuqi Lu, Mengqi Lyu, Hongyu Zhou, Wenxuan Guan, Lixi Jiang, Yuhong He, Haiyan Cen
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Extracting illuminated vegetation, shadowed vegetation and background for finer fractional vegetation cover with polarization information and a convolutional network Precision Agric. (IF 6.2) Pub Date : 2023-12-13 Hongru Bi, Wei Chen, Yi Yang
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DAE-Mask: a novel deep-learning-based automatic detection model for in-field wheat diseases Precision Agric. (IF 6.2) Pub Date : 2023-12-12 Rui Mao, Yuchen Zhang, Zexi Wang, Xingan Hao, Tao Zhu, Shengchang Gao, Xiaoping Hu
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Precision of grain yield monitors for use in on-farm research strip trials Precision Agric. (IF 6.2) Pub Date : 2023-12-11 A. A. Gauci, J. P. Fulton, A. Lindsey, S. A. Shearer, D. Barker, E. M. Hawkins
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Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields Precision Agric. (IF 6.2) Pub Date : 2023-12-07 Guanyuan Shuai, Ames Fowler, Bruno Basso
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Drone remote sensing of wheat N using hyperspectral sensor and machine learning Precision Agric. (IF 6.2) Pub Date : 2023-11-08 Rabi N. Sahoo, R. G. Rejith, Shalini Gakhar, Rajeev Ranjan, Mahesh C. Meena, Abir Dey, Joydeep Mukherjee, Rajkumar Dhakar, Abhishek Meena, Anchal Daas, Subhash Babu, Pravin K. Upadhyay, Kapila Sekhawat, Sudhir Kumar, Mahesh Kumar, Viswanathan Chinnusamy, Manoj Khanna
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Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach Precision Agric. (IF 6.2) Pub Date : 2023-11-11 Jacopo Furlanetto, Nicola Dal Ferro, Daniele Caceffo, Francesco Morari
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Generic optimization approach of soil hydraulic parameters for site-specific model applications Precision Agric. (IF 6.2) Pub Date : 2023-11-11 Jonas Trenz, Emir Memic, William D. Batchelor, Simone Graeff-Hönninger
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Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale Precision Agric. (IF 6.2) Pub Date : 2023-11-07 David Abekasis, Avi Sadka, Lior Rokach, Shilo Shiff, Michael Morozov, Itzhak Kamara, Tarin Paz-Kagan
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Soil compaction mapping by plant height and spectral responses of coffee in multispectral images obtained by remotely piloted aircraft system Precision Agric. (IF 6.2) Pub Date : 2023-11-08 Nicole Lopes Bento, Gabriel Araújo e Silva Ferraz, Lucas Santos Santana, Rafael de Oliveira Faria, Jhones da Silva Amorim, Mirian de Lourdes Oliveira e Silva, Michel Martins Araújo Silva, Diego José Carvalho Alonso
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A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley Precision Agric. (IF 6.2) Pub Date : 2023-11-06 Manish Kumar Patel, Dongryeol Ryu, Andrew W. Western, Glenn J. Fitzgerald, Eileen M. Perry, Helen Suter, Iain M. Young
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Forecasting carrot yield with optimal timing of Sentinel 2 image acquisition Precision Agric. (IF 6.2) Pub Date : 2023-11-02 L. A. Suarez, M. Robertson-Dean, J. Brinkhoff, A. Robson
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Instance segmentation of partially occluded Medjool-date fruit bunches for robotic thinning Precision Agric. (IF 6.2) Pub Date : 2023-10-30 May Regev, Avital Bechar, Yuval Cohen, Avraham Sadowsky, Sigal Berman
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Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground Precision Agric. (IF 6.2) Pub Date : 2023-10-12 Sergio Bayano-Tejero, Francisco Márquez-García, Daniele Sarri, Rafael R. Sola-Guirado
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WeedsNet: a dual attention network with RGB-D image for weed detection in natural wheat field Precision Agric. (IF 6.2) Pub Date : 2023-09-30 Ke Xu, Peter Yuen, Qi Xie, Yan Zhu, Weixing Cao, Jun Ni
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Prediction of pasture yield using machine learning-based optical sensing: a systematic review Precision Agric. (IF 6.2) Pub Date : 2023-09-28 Christoph Stumpe, Joerg Leukel, Tobias Zimpel
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Almost priceless: how internet access impacts U.S. farmer leaders’ precision agriculture technology perceptions Precision Agric. (IF 6.2) Pub Date : 2023-09-27 Jamie Greig, Hannah Nelson, Grace Clardy, Mika Douglas
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Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN Precision Agric. (IF 6.2) Pub Date : 2023-09-25 Raphael Linker, Mery Dafny-Yalin
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Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review Precision Agric. (IF 6.2) Pub Date : 2023-09-22 Kun Hu, Zhiyong Wang, Guy Coleman, Asher Bender, Tingting Yao, Shan Zeng, Dezhen Song, Arnold Schumann, Michael Walsh
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Evolution of precision agricultural technologies: a patent network analysis Precision Agric. (IF 6.2) Pub Date : 2023-09-21 Yeong Sheng Tey, Mark Brindal, Seng Yee Wong, Ardiansyah, Abdulla Ibragimov, Mohd Rafii Yusop
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Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index Precision Agric. (IF 6.2) Pub Date : 2023-09-19 Yue Li, Davide Cammarano, Fei Yuan, Raj Khosla, Dipankar Mandal, Mingsheng Fan, Syed Tahir Ata-UI-Karim, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao
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Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm Precision Agric. (IF 6.2) Pub Date : 2023-09-19 Olarewaju Mubashiru Lawal
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Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L Precision Agric. (IF 6.2) Pub Date : 2023-09-09 Brenda Karina Rodrigues da Silva, Monique Fróis Malaquias, Reynaldo Furtado Faria Filho, Artur Vinícius Ferreira dos Santos, Flávio Lemes Fernandes
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Remote sensing of rice phenology and physiology via absorption coefficient derived from unmanned aerial vehicle imaging Precision Agric. (IF 6.2) Pub Date : 2023-09-07 Yi Peng, Alexei Solovchenko, Chaoran Zhang, Boris Shurygin, Xiaojuan Liu, Xianting Wu, Yan Gong, Shenghui Fang, Anatoly Gitelson
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Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning Precision Agric. (IF 6.2) Pub Date : 2023-09-05 Aijing Feng, Jianfeng Zhou, Earl Vories, Kenneth A. Sudduth
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Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors Precision Agric. (IF 6.2) Pub Date : 2023-08-29 Shao-Hua Zhang, Li He, Jian-Zhao Duan, Shao-Long Zang, Tian-Cong Yang, U. R. S. Schulthess, Tian-Cai Guo, Chen-Yang Wang, Wei Feng