Includes bibliographical references and index.

Preliminary Material / John V. Stafford -- Grape counting in RGB videos – comparing two instance segmentation models / M. Ariza-Sentís, S. Vélez, H. Baja, and J. Valente -- Changing how agronomic trials are conducted: modulated on farm response surface experiments (MORSE) / A.U. Attanayake, J. Lledyl, E.J. Johnson, S. Campbell, and S.J. Shirtliffe -- Quantifying real-time opening disk load to assess compaction and potential for planter control / S. Badua and A. Sharda -- Water status estimation using thermal imagery at different scales in the vineyard / I. Bahat, Y. Netzer, J.M. Grünzweig, A. Naor, G. Lidor, O. Keisar, V. Alchanatis, and Y. Cohen -- Smart irrigation system for precision water management: effect on yield and fruit quality of yellow fleshed kiwifruit in northern Italy / E. Baldi, M. Quartieri, G.N. Larocca, M. Golfarelli, M. Francia, J. Giovanelli, E. Xylogiannis, and M. Toselli -- Comparison between 60° and 30° hollow cone nozzles for targeted UAV-spray applications in vineyards / A. Biglia, L. Comba, L. Eloi Alcatrão, A. Sopegno, C. Messina, E. Mozzanini, N. Bloise, G. Guglieri, and M. Grella -- Using a vegetation index to define homogeneous zones for variable rate irrigation in vineyard / M. Bolognini, D. Modina, D. Bianchi, L. Cavallaro, P. Carnevali, and L. Brancadoro -- Evaluation of the PROMET model in on-farm research at the ‘Digital Experimental Field BeSt-SH’ / B. Brandenburg, Y. Reckleben, H. Bach, and H.W. Griepentrog -- Data requirements for forecasting tree crop yield – a macadamia case study / J. Brinkhoff, R. Orford, L.A. Suarez, and A.R. Robson -- Precision monitoring of vine water stress using UAVs and opensource processing chains / V. Burchard-Levine, H. Nieto, G.A. Mesías-Ruiz, J. Dorado, A.I. de Castro, and J.M. Peña -- Detection of Fusarium oxysporum by hyperspectral imaging in strawberry plants / P. Castro-Valdecantos, G. Egea, M. Avilés, and M. Pérez-Ruiz -- Testing crop protection performances in a vineyard subjected to real-time volume adjustment through an adapted conventional sprayer / R. D’Ambrosio, M. Furiosi, T. Caffi, F. Graziosi, T. Frioni, S. Poni, and M. Gatti -- Limitations of grain yield monitor data to evaluate treatment differences within on-farm experimentation / J. Fulton, A. Lindsey, A. Gauci, E. Hawkins, S. Shearer, and D. Barker -- Effects of canopy density-based airblast fan airflow adjustment on vines spray deposit / M. Grella, P. Marucco, E. Mozzanini, L. Athanasakos, A. Biglia, L. Comba, E. Gil, S. Fountas, P. Balsari, and F. Gioelli -- Farmer-led on-farm experimentation enhanced with digital agronomy / L. Longchamps, P. Lanza, and A.N. Cambouris -- Evaluation of portable tools for fast field assessment of winter wheat grain quality / B. Morandin Figueiredo, M. Söderström, K. Persson, and T. Börjesson -- Redesigning spatial on-farm precision experiments for innovative vineyard crop protection / O. Naud, J.-L. Lablée, A. Bourguignon, S. Codis, J. Taylor, and A. Cheraiet -- Evaluation of the soil quality of Chilean orchards using a gamma radiation sensor / R.A. Ortega and H.P. Poblete -- Follow the leader: a path generator and controller for precision tree scanning with a robotic manipulator / N. Parayil, A. You, C. Grimm, and J.R. Davidson -- Monitoring chickpea physiological traits by Sentinel-2 imagery / O. Perach, S. Abbo, A. Avneri, O. Ram, and I. Hermmann -- Investigation of spraying applications using a UAS in viticulture / B. Poss, M. Friedel, K.-U. Bartsch, M. Stoll, and D.S. Paraforos -- A new leafiness-LiDAR index to estimate light interception in intensive olive orchards / L. Sandonís-Pozo, J.A. Martínez-Casasnovas, A. Escolà, J.R. Rosell-Polo, J. Rufat, and M. Pascual -- Long-term evaluation of the Grassmaster II probe used to estimate productivity of dryland pastures / J. Serrano, S. Shahidian, and J. Marques da Silva -- Technological approach to evaluating the effect of livestock trampling on soil compaction / J. Serrano, S. Shahidian, J. Marques da Silva, L.L. Paniagua, and F. Moral -- Tracking wheat senescence based on UAV multispectral imaging / X. Song, S.V. Luca, Q. Deng, M. Camenzind, W. Qin, H. Yang, M. Minceva, and K. Yu -- Variable-rate fertiliser application to manage spatial variability in a hilly vineyard of Prosecco PDO / M. Sozzi, D. Boscaro, A. Zanchin, A. Cogato, F. Marinello, and D. Tomasi -- Synthetic data generation for validating site-specific crop yield response modelling using WOFOST and gaussian geostatistical simulations / T.S.T. Tanaka, Y. Yokoyama, T. Mieno, and A. de Wit -- Implementation of variable rate of inputs in winter crops under rainfed conditions / M. Videgain, J.A. Martínez-Casasnovas, A. Vigo, M. Vidal, and F.J. García-Ramos -- Strawberry flower and fruit detection based on an autonomous imaging robot and deep learning / C. Zhou, W.S. Lee, N. Peres, B.S. Kim, J.H. Kim, and H.C. Moon -- Variable rate nitrogen in potato cropping systems / E.A. Flint, B.G. Hopkins, and M.A. Yost -- Using an oat cover crop as a reflector of the spatial variation of soil nutrient availability / S.I. Futerman, Y. Laor, G. Eshel, and Y. Cohen -- On-farm evaluation of variable rate irrigation for winter wheat in semi-arid western USA / N. Hansen, E. Flint, A. Hopkins, I. Larsen, R. Kerry, B. Hopkins, R. Jensen, and M. Heaton -- Assessing the ability of ECa and drone data to capture spatial patterns in soil moisture for more precise turfgrass irrigation / R. Kerry, B. Ingram, A. Henrie, K. Sanders, K. Hammond, N. Hansen, R. Jensen, and B. Hopkins -- How can precision agriculture prescription maps contribute to the 50% pesticide reduction goal of the farm-to-fork strategy in viticulture / J. Llorens, C. Román, A. Escolà, J. Gené-Mola, J. Arnó, and J.A. Martínez-Casasnovas -- An optical trapezoid model for actual evapotranspiration and winter wheat yield estimation / A. Mokhtari, M. Sadeghi, Y. Afrasiabian, and K. Yu -- A novel approach to map-sensor-based site-specific nitrogen fertilisation in winter wheat / M.A. Munnaf, A.G. Castillo, and A.M. Mouazen -- Second-generation ultrasonic sensor in precision spraying: testing and actuation range refinement / A. Pagliai, D. Sarri, C. Perna, and M. Vieri -- Target-N: Sentinel-2 based nitrogen optimisation in Swedish cereal production / K. Persson, M. Söderström, H. Stadig, and J. Martinsson -- Testing irrigation management based on an unoccupied aerial vehicle and an artificial neural network / O. Rozenstein, L. Fine, N. Malachy, A. Richard, C. Pradalier, and J. Tanny -- Classifying potato yield in North Spain from Sentinel-2 data based on Random Forest and multitemporal auxiliary data / A. Uribeetxebarria, A. Carrasco, M. Aranguren, J. Legorburu, A. Castellón, and A. Aizpurua -- A low cost sensor to improve surface irrigation management / P. Vandôme, S. Moinard, G. Brunel, B. Tisseyre, C. Leauthaud, and G. Belaud -- Grapevine water status in a variably irrigated vineyard with NIR hyperspectral imaging from a UAV / K. Vasquez, E. Laroche-Pinel, G. Partida, and L. Brillante -- Potential of the dark green color index for dynamic monitoring of N requirements in wheat crop / A.S. Voisin, E. Denimal, M. de-Yparraguirre, L. Dujourdy, and C. Gée -- Combining crop growth modeling, active sensing and machine learning to improve in-season nitrogen management of maize / X. Wang, Y. Miao, R. Dong, G. Mi, K. Kusnierek, and W.D. Batchelor -- Weeds detection in winter wheat field using improved-YOLOv4 with attention module from UAV imagery / P. Alirezazadeh, M. Schirrmann, and F. Stolzenburg -- Towards a digital twin for optimal field management / V. Bloch, T. Palosuo, H. Huitu, A. Ronkainen, J. Backman, K. Pussi, A. Suokannas, and M. Pastell -- Generalization of deep learning models applied to semantic segmentation of in-field natural images in vineyards / A. Casado-García, J. Heras, A. Milella, and R. Marani -- Detecting and locating mushroom clusters by a Mask R-CNN model in farm environment / C. Charisis, M. Gyalai-Korpos, A. Somosné Nagy, K. Karantzalos, and D. Argyropoulos -- Recognition of weeds in cereals using AI architecture / R. Dainelli, M. Martinelli, A. Bruno, D. Moroni, S. Morelli, M. Silvestri, E. Ferrari, L. Rocchi, and P. Toscano.

Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance and crop management. Sensors now in use in agriculture are generating ‘Big Data’ leading to the use of machine learning and AI - an increasing challenge for agriculture. Research continues to be necessary, and needs to be reported and disseminated to a wide audience. These edited proceedings contain peer reviewed papers presented at the 14th European Conference on Precision Agriculture, held in Bologna, Italy. The papers reflect the wide range of disciplines that impinge on precision agriculture - technology, crop science, soil science, agronomy, information technology, decision support, remote sensing, data analysis and others. The broad range of research topics reported will be a valuable resource for researchers, advisors, teachers and professionals in agriculture long after the conference has finished.

English

Description based on print version record.