Progress 09/01/23 to 08/31/24
Outputs
Target Audience:tree crop growers and allied industry, crop insurance companies, extension personnel, and policymakers. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Two research associates involved in this project attended and presented in two international conferences: Zhou C., Ampatzidis Y., Guan H., and Neto A.D.C., Kunwar S., Batuman O., 2024. Agrosense: AI-enabled sensing for precision management of tree crops (poster). 16th International Conference on Precision Agriculture (ICPA), Manhattan, Kansas, USA, July 21-24. Lacerda C., and Neto A.D.C., Ampatzidis Y., 2024. Agroview: enhance satellite imagery using super-resolution and generative AI for precision management in specialty crops. AgEng International Conference of EurAgEng, Agricultural Engineering Challenges in Existing and New Agrosystems, Athens, Greece, July 1-4, 2024. How have the results been disseminated to communities of interest?AgIntel CEO Matthew Donovan and other members of AgIntel presented results of this project in several Ag Expos and Ag events: Sep 2023: International Citrus & Beverage Conference (Tampa, FL) Oct 2023: UF, AI Days (Gainesville, FL) Nov 2023: AgriSompo Southeast User Group Conference (Lakeland, FL) Feb 2024: UF/Gainesville Tech Week (Gainesville, FL) Feb 2024: Future of Florida Summit (Gaineville, FL) Mar 2024: World AgriTech (San Francisco, FL) May 2024: AI in Ag (College Station, TX) Apr 2024: UF Foundation, AI Week (Gainesville, FL) Jun 2024: Florida Citrus Industry, Annual Meeting (Fort Myers,FL) Dr. Ampatzidis and his team presented the results of this project in several venues, including: Emerging enterprises and research commercialization (panel discussion). UF/IFAS Research Forum, Gainesville, FL, April 30, 2024. AI and remote sensing for precision crop management. Center for Remote Sensing, IFAS/UF, April 26, 2024. AI and robotics in agriculture. AI In-service-training (IST), Wimauma, FL, April 9, 2024. Robotics, automation, and AI for specialty crops. Florida AgTech and AI Expo, Punta Gorda, FL, December 14, 2023. AI-enabled technologies for precision management of specialty crops. USDA ARS-Northeast Area retreat, November 14, 2023. Drones and AI for Precision Crop Management. Florida Ag Expo, Gulf Coast Research and Education Center, Wimauma, FL, November 9, 2023. Artificial intelligence enhanced technology for precision citrus production. Cold Hardy Citrus Field Day, Quincy, FL, October 26, 2023. Commercializing your AI: Lessons and challenges from spinning off AI companies. UF AI Days, Gainesville, FL, October 18, 2023. What do you plan to do during the next reporting period to accomplish the goals?We will continue working on redesigning the user interfaces (UIs) of both Agroview and Agrosense based on feedback from stakeholders. We expect to release the new UIs for both systems by the end of this project. We are also working on developing a tool to integrate soil data into the Smart Nutrient feature. Furthermore, we are developing an automatic airflow control for the smart sprayer to minimize off-target losses. The designs of this system are ready, and we plan to build and field-test this system in the next six months. Finally, we will explore the development of a fuzzy logic controller for an optimal application of multiple nutrient inputs. This task will start in the next few months.
Impacts
What was accomplished under these goals?
Objective #1: Enhance and evaluate in commercial orchards the Agroview's fertility/ prescription map and Smart Nutrient feature. We have refined Agroview's pixel segmentation algorithm, which identifies and isolates tree canopy pixels in aerial multispectral images. By achieving this, we can ensure that the average values extracted for each spectrum are more representative of the tree canopy (and not from the ground or weeds) and its nutrient concentrations. This leads to more accurate predictions by the AI models to generate fertility maps. We have collected multispectral images from several commercial citrus orchards. In some fields, data were collected monthly. Leaf samples were also collected and analyzed for nutrient estimations (ground truth) by our grower collaborators and Dr. Albrecht's lab (Co-PI). These data were used to improve and make more robust the AI models to deliver reliable nutrient concentration estimates and create accurate fertility maps. Furthermore, we are working on redesigning the user interfaces (UIs) of both Agroview and Agrosense based on feedback from stakeholders (aka., equipment operators, farm managers, growers, agricultural consultants, equipment manufacturers, and industry professionals). This process will help us fine-tune the UIs, ultimately leading to a more user-friendly and efficient experience for growers and other users. We expect to release the new UIs by the end of this project. Objective #2: Enhance, field-evaluate, and finalize the development of the Smart Sprayer and Smart Fertilizer Spreader We have developed a feature on Agroview to create application maps, based on user inputs, from the fertility maps. We have also redesigned the Agrosense sensing system and the control of the fertilizer to make it more robust and accurate. We are working on developing a code for Agrosense to read the application maps from Agroview. This will be ready and field-tested by the end of this project.
Publications
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Lacerda C., and Neto A.D.C., Ampatzidis Y., 2024. Agroview: enhance satellite imagery using super-resolution and generative AI for precision management in specialty crops. AgEng International Conference of EurAgEng, Agricultural Engineering Challenges in Existing and New Agrosystems, Athens, Greece, July 1-4, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Zhou C., Ampatzidis Y., Guan H., and Neto A.D.C., Kunwar S., Batuman O., 2024. Agrosense: AI-enabled sensing for precision management of tree crops (poster). 16th International Conference on Precision Agriculture (ICPA), Manhattan, Kansas, USA, July 21-24.
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