| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | ||
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3 | Cacao Field Lab in the Peruvian Amazon | ||||||||||||||||||||||||||
4 | Impact goal: Small-scale cacao farmers apply resilient and profitable agroecological solutions that foster their autonomy | ||||||||||||||||||||||||||
5 | CHF | EUR | |||||||||||||||||||||||||
6 | 2024 | 2025 | 2026 | 2024-2026 | 2024 | 2025 | 2026 | 2024-2026 | |||||||||||||||||||
7 | Last update: 15-Oct-2023 | TOTAL | TOTAL | ||||||||||||||||||||||||
8 | 1 | Outcome 1: The solutions piloted in the Cacao Field Lab prove their effectiveness and contribute to more resilient agroecosystems and improved farmer independence | 416.670 | 397.900 | 328.451 | 1.143.022 | 432.065 | 412.601 | 340.586 | 1.185.253 | |||||||||||||||||
9 | 1,1 | Output 1.1: Existing agroecological practical knowledge and solutions are enhanced through the Cacao Field Lab | 10.000 | - | - | 10.000 | 10.369 | - | - | 10.369 | |||||||||||||||||
10 | 1.1.1 | Definition of scope and objectives | 2.000 | - | - | 2.000 | 2.074 | - | - | 2.074 | |||||||||||||||||
11 | 1.1.2 | Identification of organisations working on relevant topics | 2.000 | - | - | 2.000 | 2.074 | - | - | 2.074 | |||||||||||||||||
12 | 1.1.3 | Mapping of existing initiatives / solutions and selection of the most relevant / promising ones | 2.000 | - | - | 2.000 | 2.074 | - | - | 2.074 | |||||||||||||||||
13 | 1.1.4 | Integration / validation of initiatives in the Field Lab's activity plan | 2.000 | - | - | 2.000 | 2.074 | - | - | 2.074 | |||||||||||||||||
14 | 1.1.5 | Consolidation and systematisation of existing learning | 2.000 | - | - | 2.000 | 2.074 | - | - | 2.074 | |||||||||||||||||
15 | 1,2 | Output 1.2: Effective, cost-efficient, and context-based solutions for the agroecological control of pest and disease | 81.720 | 83.359 | 64.457 | 229.536 | 84.739 | 86.439 | 66.839 | 238.017 | |||||||||||||||||
16 | 1.2.1 | Testing and evaluation of direct and indirect strategies for pest and disease control | 20.000 | 20.000 | 20.000 | 60.000 | 20.739 | 20.739 | 20.739 | 62.217 | |||||||||||||||||
17 | 1.2.2 | Climate monitoring over a year (rainfall, temperature, microclimate) | 16.394 | 1.929 | - | 18.323 | 17.000 | 2.000 | - | 19.000 | |||||||||||||||||
18 | 1.2.3 | Pest and disease monitoring (for surveillance) | 5.786 | 3.857 | - | 9.644 | 6.000 | 4.000 | - | 10.000 | |||||||||||||||||
19 | 1.2.4 | Pest and disease dispersal experiment | - | 14.080 | - | 14.080 | - | 14.600 | - | 14.600 | |||||||||||||||||
20 | 1.2.5 | Biotic and abiotic characterization of plots (plant diversity, soil conditions, slope) | 9.162 | 5.304 | - | 14.466 | 9.500 | 5.500 | - | 15.000 | |||||||||||||||||
21 | 1.2.6 | Characterization of the nearby landscape of the plot (with drones) | 8.679 | 964 | - | 9.644 | 9.000 | 1.000 | - | 10.000 | |||||||||||||||||
22 | 1.2.7 | Development of a fine model of pest and disease incidence at plot scale to accompany management decision-making | 19.287 | 28.931 | 38.575 | 86.793 | 20.000 | 30.000 | 40.000 | 90.000 | |||||||||||||||||
23 | 1.2.8 | Development of a global model for predicting pests and diseases according to climate at the territorial scale | 2.411 | 8.294 | 5.883 | 16.587 | 2.500 | 8.600 | 6.100 | 17.200 | |||||||||||||||||
24 | 1,3 | Output 1.3: Practical, cost-efficient, and nutrient recycling-based practices leading to the optimization of soil fertility and water conservation | 116.000 | 94.500 | 97.500 | 308.000 | 120.286 | 97.991 | 101.102 | 319.379 | |||||||||||||||||
25 | 1.3.1 | Investigation of the best use of farm residues | 21.000 | 19.000 | 22.000 | 62.000 | 21.776 | 19.702 | 22.813 | 64.291 | |||||||||||||||||
26 | 1.3.2 | Investigation of the best use of legumes as cover plants | 21.000 | 19.000 | 22.000 | 62.000 | 21.776 | 19.702 | 22.813 | 64.291 | |||||||||||||||||
27 | 1.3.3 | Research on the most efficient agricultural practices | - | 1.000 | 1.000 | 2.000 | - | 1.037 | 1.037 | 2.074 | |||||||||||||||||
28 | 1.3.4 | Investigation of the efficiency of solid fertilisation | - | 1.000 | 1.000 | 2.000 | - | 1.037 | 1.037 | 2.074 | |||||||||||||||||
29 | 1.3.5 | Investigation of the use of micronutrients and liquid fertilizers as a complement to solid fertilisation | - | 500 | 500 | 1.000 | - | 518 | 518 | 1.037 | |||||||||||||||||
30 | 1.3.6 | Raw material selection for Biochar production | 7.000 | 2.000 | - | 9.000 | 7.259 | 2.074 | - | 9.333 | |||||||||||||||||
31 | 1.3.7 | Identification of possible methodologies for the production of biochar | 20.000 | 5.000 | 4.000 | 29.000 | 20.739 | 5.185 | 4.148 | 30.071 | |||||||||||||||||
32 | 1.3.8 | Determination of Biochar application rate | 18.000 | 18.000 | 18.000 | 54.000 | 18.665 | 18.665 | 18.665 | 55.995 | |||||||||||||||||
33 | 1.3.9 | Methodological comparison of the use of Biochar and its interaction with other elements (microorganisms, fertilization doses, etc.) | 18.000 | 18.000 | 18.000 | 54.000 | 18.665 | 18.665 | 18.665 | 55.995 | |||||||||||||||||
34 | 1.3.10 | Test of different strategies integrating those with the best results in the previous modules | 11.000 | 11.000 | 11.000 | 33.000 | 11.406 | 11.406 | 11.406 | 34.219 | |||||||||||||||||
35 | 1,4 | Output 1.4: Optimized use of microorganisms and locally produced liquid fertilizers | 24.608 | 50.260 | 27.126 | 101.994 | 25.517 | 52.117 | 28.128 | 105.763 | |||||||||||||||||
36 | 1.4.1 | Use of microorganisms and biols/commercial products, or compost tea etc. and their efficacy in the field | 14.000 | 14.000 | 17.000 | 45.000 | 14.517 | 14.517 | 17.628 | 46.663 | |||||||||||||||||
37 | 1.4.2 | Analysis of the composition of the manufactured products (biofertilizers, biols, biopesticides) | 10.608 | 20.734 | - | 31.342 | 11.000 | 21.500 | - | 32.500 | |||||||||||||||||
38 | 1.4.3 | Analysis of product stability over time | - | 13.115 | 7.715 | 20.830 | - | 13.600 | 8.000 | 21.600 | |||||||||||||||||
39 | 1.4.4 | Optimization of protocols and the recipes according to the results found. | - | 2.411 | 2.411 | 4.822 | - | 2.500 | 2.500 | 5.000 | |||||||||||||||||
40 | 1,5 | Output 1.5: Different examples of functional, profitable, and resilient agroforestry models | 46.627 | 51.063 | 40.365 | 138.055 | 48.350 | 52.950 | 41.856 | 143.156 | |||||||||||||||||
41 | 1.5.1 | Comparison of different shade management in adult plantations | 11.000 | 11.000 | 17.000 | 39.000 | 11.406 | 11.406 | 17.628 | 40.441 | |||||||||||||||||
42 | 1.5.2 | Comparison of different cocoa SAF models in terms of viability, profitability, effect on the soil and microclimate since their installation. | 5.000 | 5.000 | 11.000 | 21.000 | 5.185 | 5.185 | 11.406 | 21.776 | |||||||||||||||||
43 | 1.5.3 | Research of market opportunities for other products | 7.000 | 7.000 | 6.000 | 20.000 | 7.259 | 7.259 | 6.222 | 20.739 | |||||||||||||||||
44 | 1.5.4 | Research of advantages and disadvantages (with respect to cocoa production, economically and ecologically) in databases and with interviews of the species of trees associated with cocoa in the area | 12.055 | 11.090 | 964 | 24.109 | 12.500 | 11.500 | 1.000 | 25.000 | |||||||||||||||||
45 | 1.5.5 | Creation of a program or model based on "ideotypes", that proposes the inclusion of native species that fulfill the expected ecosystem functions | 11.572 | 16.973 | 5.400 | 33.946 | 12.000 | 17.600 | 5.600 | 35.200 | |||||||||||||||||
46 | 1,6 | Output 1.6: Farmers gain access to greater genetic diversity, fostering greater resilience of cacao plantations | 82.466 | 73.468 | 54.753 | 210.686 | 85.512 | 76.182 | 56.776 | 218.471 | |||||||||||||||||
47 | 1.6.1 | Conservation of local genotypes in situ and ex situ and installation of a clonal garden. | 15.000 | 15.000 | 15.000 | 45.000 | 15.554 | 15.554 | 15.554 | 46.663 | |||||||||||||||||
48 | 1.6.2 | Evaluation of local genotypes compatibility | 482 | 10.964 | - | 11.447 | 500 | 11.369 | - | 11.869 | |||||||||||||||||
49 | 1.6.3 | Bioprospecting Missions in Conservation Concessions | 3.929 | 11.715 | - | 15.644 | 4.074 | 12.148 | - | 16.222 | |||||||||||||||||
50 | 1.6.4 | Characterization of genetic diversity with molecular tools | 8.233 | 28.485 | 30.413 | 67.131 | 8.537 | 29.537 | 31.537 | 69.611 | |||||||||||||||||
51 | 1.6.5 | Investigation of the degree of cadmium uptake of varieties kept in the preservation garden | 4.893 | 4.411 | 2.411 | 11.715 | 5.074 | 4.574 | 2.500 | 12.148 | |||||||||||||||||
52 | 1.6.6 | Characterization of the volatile compounds of "elite" cocoa liquors with molecular tools | 43.000 | - | - | 43.000 | 44.589 | - | - | 44.589 | |||||||||||||||||
53 | 1.6.7 | Morphological and organoleptic characterization of preserved accessions (catalog) | 6.929 | 1.929 | - | 8.857 | 7.185 | 2.000 | - | 9.185 | |||||||||||||||||
54 | 1.6.8 | Production of a catalog of the 89 accessions conserved in the garden plus those identified during bioprospecting missions | - | 964 | 6.929 | 7.893 | - | 1.000 | 7.185 | 8.185 | |||||||||||||||||
55 | 1,7 | Others for Output 1 (field technicians, costs under evaluation) | 55.250 | 45.250 | 44.250 | 144.750 | 57.291 | 46.922 | 45.885 | 150.098 | |||||||||||||||||
56 | 2 | Outcome 2: Farmers, agronomists, technicians, young students, and researchers benefit from the scientific and practical knowledge generated by the Cacao Field Lab | 156.740 | 233.166 | 252.363 | 642.270 | 162.531 | 241.781 | 261.687 | 665.999 | |||||||||||||||||
57 | 2,1 | Output 2.1: The results of the Cacao Field Lab and knowledge of the partners generate contextualized decision-making tools and methodologies | 38.147 | 41.368 | 27.126 | 106.641 | 39.556 | 42.896 | 28.128 | 110.581 | |||||||||||||||||
58 | 2.1.1 | The results of the Field Lab are evaluated regarding their relevance for practice, in a participatory process together with farmers | 9.000 | 9.000 | 3.000 | 21.000 | 9.333 | 9.333 | 3.111 | 21.776 | |||||||||||||||||
59 | 2.1.2 | Stakeholder needs' assessment for the development of a support matrix for decision making | - | 6.000 | 2.000 | 8.000 | - | 6.222 | 2.074 | 8.296 | |||||||||||||||||
60 | 2.1.3 | Participatory design and development of a support toolkit for decision making | 14.411 | 19.000 | 22.126 | 55.537 | 14.943 | 19.702 | 22.943 | 57.589 | |||||||||||||||||
61 | 2.1.4 | Technical ressources, others | 14.736 | 7.368 | - | 22.104 | 15.280 | 7.640 | - | 22.921 | |||||||||||||||||
62 | 2,2 | Output 2.2: Farmers, technicians and agronomists in the San Martin region are trained through personal training sessions | 43.000 | 56.000 | 93.128 | 192.128 | 44.589 | 58.069 | 96.569 | 199.227 | |||||||||||||||||
63 | 2.2.1 | Learning targets/ goals based on the Field Lab learnings are defined on a target group level (scope: Huayabamba) | 6.000 | 3.000 | 3.000 | 12.000 | 6.222 | 3.111 | 3.111 | 12.443 | |||||||||||||||||
64 | 2.2.2 | In-person training methods are defined (based on learning targets, target group and resources) + training materials and schedules are developed (e.g. workshops, field visits) | 21.000 | 27.000 | 36.162 | 84.162 | 21.776 | 27.998 | 37.498 | 87.271 | |||||||||||||||||
65 | 2.2.3 | In-person training sessions are conducted with farmers and technicians in the Huayabamba region | 16.000 | 26.000 | 53.967 | 95.967 | 16.591 | 26.961 | 55.961 | 99.512 | |||||||||||||||||
66 | 2,3 | Output 2.3: Farmers, technicians and agronomists in Peru are trained through digital training and the exchange of knowledge and group assistance is fostered through online community building | 23.000 | 40.000 | 40.000 | 103.000 | 23.850 | 41.478 | 41.478 | 106.805 | |||||||||||||||||
67 | 2.3.1 | Learning targets/ goals based on the Field Lab learnings are defined on a target group level (scope: Peru) | 6.000 | 3.000 | 3.000 | 12.000 | 6.222 | 3.111 | 3.111 | 12.443 | |||||||||||||||||
68 | 2.3.2 | Digital training tools are selected (based on the learning targets, target audience and resources) and materials are developed. Possible digital learning tools are: Webinars, learning management systems (LMS), videos/ tutorials | 5.000 | 25.000 | 25.000 | 55.000 | 5.185 | 25.924 | 25.924 | 57.032 | |||||||||||||||||
69 | 2.3.3 | Farmers/ technicians/ agronomists that have a strong interest in the topic are identified for a digital training | 1.000 | 1.000 | 1.000 | 3.000 | 1.037 | 1.037 | 1.037 | 3.111 | |||||||||||||||||
70 | 2.3.4 | Digital trainings are conducted with farmers, technicians and agronomists | 9.000 | 9.000 | 9.000 | 27.000 | 9.333 | 9.333 | 9.333 | 27.998 | |||||||||||||||||
71 | 2.3.5 | Further exchange of knowledge and group assistance is facilitated and fostered through digital Training | 2.000 | 2.000 | 2.000 | 6.000 | 2.074 | 2.074 | 2.074 | 6.222 | |||||||||||||||||
72 | 2,4 | Output 2.4: Learnings and related knowledge are shared through digital channels to farmers and technicians in Latin America | 32.736 | 56.297 | 56.644 | 145.676 | 33.945 | 58.377 | 58.736 | 151.059 | |||||||||||||||||
73 | 2.4.1 | Learning targets/ goals based on the Field Lab learnings are defined on a target group level (scope: Latam) | 6.000 | 3.000 | 3.000 | 12.000 | 6.222 | 3.111 | 3.111 | 12.443 | |||||||||||||||||
74 | 2.4.2 | Based on the learning targets, the available information, the target audience and the resources, the most effective digital channels for digital dissemination are selected. Possible channels are: - Social Media (Tiktok, Instagram, Youtube, Facebook ...) - Newsletters, websites, blog articles - Podcasts - News Media (TV, Radio etc.) and more | 5.000 | 20.000 | 20.000 | 45.000 | 5.185 | 20.739 | 20.739 | 46.663 | |||||||||||||||||
75 | 2.4.3 | Partnerships with technology and/ or media partners are built | - | 2.000 | 2.000 | 4.000 | - | 2.074 | 2.074 | 4.148 | |||||||||||||||||
76 | 2.4.4 | Content creation, dissemination and continuous monitoring | 5.000 | 21.929 | 29.644 | 56.572 | 5.185 | 22.739 | 30.739 | 58.663 | |||||||||||||||||
77 | 2.4.5 | Farmers and technicians who have a strong interest in deepening their knowledge are linked to training opportunities (2.3) | 2.000 | 2.000 | 2.000 | 6.000 | 2.074 | 2.074 | 2.074 | 6.222 | |||||||||||||||||
78 | 2.4.6 | Technical ressources, others | 14.736 | 7.368 | - | 22.104 | 15.280 | 7.640 | - | 22.921 | |||||||||||||||||
79 | 2,5 | Output 2.5: The Cacao Field Lab offers universities and agronomy institutes a space for exchange, learning and experimentation | 9.857 | 11.786 | 7.929 | 29.572 | 10.222 | 12.222 | 8.222 | 30.665 | |||||||||||||||||
80 | 2.5.1 | Selection and formalization of agreements with universities and other institutions | 3.000 | - | - | 3.000 | 3.111 | - | - | 3.111 | |||||||||||||||||
81 | 2.5.2 | Program development with institutions such as universities/institutions | 6.857 | 3.000 | 3.000 | 12.857 | 7.111 | 3.111 | 3.111 | 13.333 | |||||||||||||||||
82 | 2.5.3 | Implementation of the collaboration program with academic institutions | - | 8.786 | 4.929 | 13.715 | - | 9.111 | 5.111 | 14.222 | |||||||||||||||||
83 | 2,6 | Output 2.6 - One and two-way communication of the learnings from the Cacao Field Lab to policy makers, the scientific community, and stakeholders from the industry | 10.000 | 27.715 | 27.537 | 65.252 | 10.369 | 28.739 | 28.554 | 67.663 | |||||||||||||||||
84 | 2.6.1 | One-way: Publication of key learnings in written format (e.g. factsheet) online (on project website, FiBL/ partners website, etc.) | 2.000 | 19.715 | 19.537 | 41.252 | 2.074 | 20.443 | 20.259 | 42.776 | |||||||||||||||||
85 | 2.6.2 | One-way: Actively share publication document with policy makers and interested parties | 2.000 | 2.000 | 2.000 | 6.000 | 2.074 | 2.074 | 2.074 | 6.222 | |||||||||||||||||
86 | 2.6.3 | One-way/ two-way: Create awareness for the publication online (blogs, magazines, websites, newsletters, social media/ Twitter/ LinkedIn) | 2.000 | 2.000 | 2.000 | 2.074 | 2.074 | 2.074 | |||||||||||||||||||
87 | 2.6.4 | Two-way: Presentation of results at scientific conferences | 2.000 | 2.000 | 2.000 | 2.074 | 2.074 | 2.074 | |||||||||||||||||||
88 | 2.6.5 | Two-way: Presentation of results at industry events | 2.000 | 2.000 | 2.000 | 6.000 | 2.074 | 2.074 | 2.074 | 6.222 | |||||||||||||||||
89 | 2,7 | Others for Output 2 (costs under evaluation) | - | - | - | - | - | - | - | - | |||||||||||||||||
90 | 3 | Technical, assistance and other project resources | 277.410 | 210.643 | 221.534 | 709.586 | 287.659 | 218.425 | 229.719 | 735.803 | |||||||||||||||||
91 | 3,1 | Technical project management, coordination, monitoring, control | 156.500 | 85.250 | 85.250 | 327.000 | 162.282 | 88.400 | 88.400 | 339.081 | |||||||||||||||||
92 | 3,2 | Project data management (technical) | 16.250 | 8.125 | 8.125 | 16.850 | 8.425 | 8.425 | |||||||||||||||||||
93 | 3,3 | Project local admin assistance | 7.200 | 7.200 | 7.200 | 7.466 | 7.466 | 7.466 | |||||||||||||||||||
94 | 3,4 | Project controlling and monitoring (ICS, financials, internal audit) | 25.600 | 25.600 | 25.600 | 26.546 | 26.546 | 26.546 | |||||||||||||||||||
95 | 3,5 | Travels | 62.860 | 70.468 | 46.359 | 179.686 | 65.182 | 73.071 | 48.071 | 186.325 | |||||||||||||||||
96 | 3,6 | External audit | - | - | 40.000 | 40.000 | - | - | 41.478 | 41.478 | |||||||||||||||||
97 | 3,7 | Other expenses | 9.000 | 9.000 | 9.000 | 27.000 | 9.333 | 9.333 | 9.333 | 27.998 | |||||||||||||||||
98 | 3,8 | Field Lab promotional material (video) | - | 5.000 | - | 5.000 | - | 5.185 | - | 5.185 | |||||||||||||||||
99 | Subt. | Project Direct Costs | 850.821 | 841.709 | 802.348 | 2.494.878 | 882.255 | 872.807 | 831.992 | 2.587.055 | |||||||||||||||||
102 | Subt. | Contingency 5% + Overheads 15% | 170.164 | 168.342 | 160.470 | 498.976 | 176.451 | 174.561 | 166.398 | 517.411 | |||||||||||||||||
103 | = | Total Project Costs | 1.020.985 | 1.010.051 | 962.818 | 2.993.854 | 1.058.706 | 1.047.369 | 998.390 | 3.104.466 | |||||||||||||||||
104 |